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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 905 Documents
 87   88   89   90   91 
Assessing the impact of training samples overlap and density in random forest for landslide susceptibility mapping: Implications for degraded land management in Bandung Regency, Indonesia Nugroho, Hary; Sari, Dewi Kania; Safitri, Sitarani; Azmi, Naufal
Journal of Degraded and Mining Lands Management Vol. 12 No. 5 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.125.8933

Abstract

Landslide susceptibility mapping is essential for disaster mitigation and land management in degraded mountainous regions. Machine learning algorithms, particularly Random Forest (RF), have been increasingly applied due to their robustness in handling complex, non-linear relationships. However, classification performance is often affected by the quality of training samples, especially when landslide and non-landslide points exhibit spatial overlap. This study investigated how varying densities of fully overlapping samples influence RF performance in Bandung Regency, West Java, Indonesia, an area characterised by steep slopes, rapid land-use change, and post-mining degradation. Balanced datasets ranging from 50 to 700 samples per class were evaluated with hyperparameter tuning. The highest validation accuracy (89%) was achieved with 500 samples at a max_depth of 2, while training accuracy was approximately 10% lower, indicating the algorithm’s difficulty in separating overlapping classes. A more stable trade-off was obtained with 300 samples and a max_depth of 4, suggesting that moderate densities enhance generalisation. To translate these findings into practice, we propose an ensemble zoning and uncertainty mapping framework that integrates multiple model outputs to identify consensus zones for slope stabilisation, vegetation restoration, and adaptive spatial planning. This approach improves the reliability of susceptibility maps and provides actionable insights for managing degraded and landslide-prone landscapes.
Assessment of environmental degradation of land and its impact on agricultural production in western Iraq Jassim, Mayada Safaa; Gharbi , Moshtaq Ahmed; Hussein , Adnan Neama; Salh, Abdulqader Mahdi
Journal of Degraded and Mining Lands Management Vol. 12 No. 5 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.125.8807

Abstract

This study aimed to analyze environmental and agricultural changes in Al-Qa'im District (the district center and Al-Ubaidi sub-district) during the period from 2000 to 2023, using spectral indices (NDVI, SAVI, BSI, and LDI) derived from satellite remote sensing data and geographic information systems. The results showed that the region suffers from clear environmental fragility and intense interaction between climatic and human factors, leading to a marked decline in vegetation cover. The area decreased from 953 km² in 2000 to 820 km² in 2023. Barren areas with high BSI values ??expanded from 2,128 to 3,118 km², while severely degraded areas, according to the LDI index, increased from 1,817 to 2,071 km². At the agricultural level, strategic crops have witnessed significant changes. The area under wheat cultivation increased from 36.08 km² to 125 km², with production doubling from 5,551.5 tons to 50,000 tons. While barley remained limited in area, its productivity increased significantly, especially in the Al-Ubaidi sub-district. Maize crops expanded significantly, with the area increasing from 4.2 km² to 45 km², and production increasing from 2,633.5 to 45,000 tons. The study revealed a clear gap between natural potential and human effort, and calls for improved natural resource management efficiency and the adoption of balanced and sustainable development strategies to reduce desertification and improve land productivity.
Economic valuation analysis: Understanding the potential of agricultural land in the sustainable food agricultural land area in the Special Region of Yogyakarta Province, Indonesia Harini, Rika; Puspitaningrum, Ismi; Sari, Vanessa Anggreta; Dairina, Isnaini
Journal of Degraded and Mining Lands Management Vol. 12 No. 5 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.125.8833

Abstract

The economic conversion of agricultural land often disregards its environmental significance, threatening food security and ecosystem integrity. This study evaluated the potential of agricultural land resources within the Sustainable Food Agricultural Land Area (LP2B) in the Special Region of Yogyakarta Province, Indonesia, by quantifying their total economic value (TEV) and developing strategic recommendations for sustainable land management. Utilizing a mixed-method approach based on secondary data and SWOT analysis, the research revealed that Bantul Regency is the regency with the highest total economic value of agricultural land, and Gunungkidul is the regency with the lowest total economic value, exhibiting high TEV due to its robust agricultural productivity and ecological functions. The study emphasized indirect benefits—including flood and erosion control—that are undervalued in current land-use decision-making. Strategic solutions such as digital agriculture initiatives and farmer regeneration programs are proposed to mitigate land conversion and bolster rural resilience. These findings provide actionable insights for policymakers aiming to balance economic development and environmental sustainability in rapidly urbanizing regions.
Hybrid assessment of groundwater quality using fuzzy logic and conventional indices in Sidi Kada Mountains (Algeria) Benadela, Laouni; Bekkousa, Belkacem
Journal of Degraded and Mining Lands Management Vol. 12 No. 5 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.125.8821

Abstract

Groundwater resources are vital for supplying drinking water in semi-arid regions, where limited and irregular precipitation makes surface water unreliable for both urban and rural communities. This study assessed the drinking water quality of the Jurassic aquifer in the Sidi Kada Mountains (northwestern Algeria) by integrating three classic groundwater quality indices: the Weighted Water Quality Index (WQI), the Analytic Hierarchy Process Water Quality Index (AHP-WQI), and the Entropy Water Quality Index (EWQI), with a Mamdani-type fuzzy inference system. The indices were calculated using major physico-chemical parameters from 26 boreholes. Although the WQI, AHP-WQI, and EWQI classified most sampling points as Good to Excellent, chloride and nitrate concentrations locally approached or exceeded WHO drinking water standards in several boreholes, indicating contamination risks. To address this limitation, the fuzzy system combined the three indices with nitrate and chloride concentrations as explicit corrective parameters, providing a more precautionary classification framework. In addition, the spatial distribution of the boreholes was examined using a land use/land cover (LULC) map to identify links between local exceedances and anthropogenic pressures. The results showed that while global index scores suggest generally safe water quality, five boreholes (19%) were ultimately classified as NonAcceptable for drinking. This integrated approach demonstrates that combining conventional indices with fuzzy logic and compliance checks improves the robustness and reliability of groundwater quality assessments in semi-arid aquifers. The findings offer practical guidance for water managers to select priority monitoring stations and secure a safe and sustainable drinking water supply for the region.
Microbial status of burned tropical peat soils: A case study of Perigi peat soil, Ogan Komering Ilir, South Sumatra, Indonesia Napoleon, Adipati; Salsabila, Nadhira Ghea; Imanudin, M.S.; Soleha, Soleha; Hermawan, Agus; Bakri, Bakri
Journal of Degraded and Mining Lands Management Vol. 12 No. 5 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.125.8969

Abstract

Post-fire tropical peatlands in Southeast Asia face severe ecological degradation, yet the biological dimension, particularly soil microbial abundance as an indicator of ecosystem health, remains understudied. This study aimed to quantify culturable bacterial and fungal populations across different peat layers in a fire-affected peatland in Perigi Village, South Sumatra, Indonesia. Soil samples were collected from two depths  (0-30 cm and 30-60 cm) using a stratified random sampling approach and analyzed with the Total Plate Count (TPC) method on nutrient agar and potato dextrose agar media. Results showed a clear vertical stratification, with microbial populations significantly higher in the surface layer (0-30 cm) than in the subsurface layer (30-60 cm), reaching maximum counts of 2.6×10? CFU g?¹ for bacteria and 8.8×10³ CFU g?¹ for fungi. Sapric peat consistently supported greater microbial abundance than hemic peat, likely due to higher nutrient availability and periodic inputs from recovering vegetation. Regression analysis confirmed a significant negative relationship between peat depth and microbial counts, whereas water table depth had no measurable effect, highlighting the stronger influence of decomposition stage and soil structure over short-term hydrological fluctuations. These findings emphasize the ecological importance of microbial communities in degraded tropical peatlands and suggest that microbial viability metrics offer a cost-effective, biologically relevant indicator for peatland health assessment. Integrating microbial parameters into restoration planning may enhance evidence-based strategies for managing post-fire tropical peat ecosystems.
Assessing cocoa (Theobroma cacao L.) growth under facilitating tree stands of Neolamarckia cadamba and Falcataria moluccana with potential for land restoration Dumil, Haverdly; Bahrin, Mohammad Azriel; Triscca, Vhienna; M Khatta, Aida Nabihah; Kamlun, Kamlisa Uni; Muda, Boney; Hassan, Affendy; Awang Besar, Normah
Journal of Degraded and Mining Lands Management Vol. 12 No. 5 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.125.8875

Abstract

In the field of agroforestry, Theobroma cacao, Neolamarckia cadamba, and Falcataria moluccana are commonly employed to assess growth performance; however, research on their above-ground and below-ground characteristics remains limited. This study aimed to evaluate the growth performance and root distribution of these species within both monocropping and intercropping systems in Madai, Kunak, Sabah, for a six-month period. The study utilised 20 plots arranged in a Randomized Complete Block Design with five treatments: monocropping of T. cacao, N. cadamba, and F. moluccana, as well as intercropping combinations of N. cadamba with T. cacao and F. moluccana with T. cacao. Key metrics measured included height and diameter for above-ground growth, along with Specific Root Length (SRL), Root Length Density (RLD), and Root Biomass (RB) for below-ground growth. The findings indicated that in monocropping, T. cacao achieved an average height of 3.79 m and F. moluccana 5.11 m, while intercropping combinations exhibited various heights. Overall, T. cacao demonstrated robust height and root growth in monocropping systems, with no significant differences observed between above-ground and below-ground parameters.
Evaluation of the efficiency of a vertical flow constructed wetland combined with a coconut fiber filter for pork slaughterhouse wastewater treatment Ho, Lien Bich; Nguyen, Tuyet Anh Huynh; Huynh, An The
Journal of Degraded and Mining Lands Management Vol. 12 No. 5 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.125.8913

Abstract

Water pollution is considered a concerning issue in both Vietnam and the world. The cause contributing to water pollution is the impact of animal slaughter activities. Slaughterhouses discharge a large amount of untreated wastewater into the surrounding environment, causing significant degradation of the water environment as well as human health problems. Therefore, it is necessary to treat wastewater from slaughterhouses before discharging it into water sources. The objectives of the study were to determine the quality of wastewater from pork slaughterhouses in Binh Duong and evaluate the effectiveness of a vertical flow constructed wetland combined with a coconut fiber filter for treating this wastewater through the parameters of pH, suspended solid (SS), biology oxygen demand (BOD), chemical oxygen demand (COD), colors, total nitrogen (TN), total phosphorus (TP), and total coliform. The constructed wetland was made of gravel and sand with vertical flow. Vetiver grass (Vetiveria zizanioides (Linn) Nash) was used as the macrophyte. The results showed that, except for pH, all other parameters surveyed from the pork slaughterhouses exceeded the standards QCVN 40:2011/BTNMT (column B). It was observed that increasing the retention time of treatment in the constructed wetland caused an increase in the removal efficiency. The maximum removal efficiency of the treatment system for the parameters SS, BOD5, COD, colors, TN, TP, and total coliform was 96,21%, 83,21%, 89,53%, 95,70%, 81,99%, 97,72%, and 99,99%, respectively. It can be concluded that the combination of a constructed wetland and a coconut fiber filter performed well for the treatment of slaughterhouse wastewater.
Oil palm frond decomposition and soil carbon stocks in response to fertilization regime and management zones Wandri, Ruli; Hairiah, Kurniatun; Suprayogo, Didik; van Noordwijk, Meine; Asmono, Dwi
Journal of Degraded and Mining Lands Management Vol. 12 No. 5 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.125.9011

Abstract

Oil palm plantations face sustainability challenges with variable yields and significant greenhouse gas emissions. To optimize nutrient cycling while maintaining soil carbon stocks, this study investigated the effects of fertilization intensity and spatial management on organic matter decomposition. A factorial experiment in South Sumatra (Indonesia) used a completely randomized block design with three fertilization levels (low, intermediate, high). Decomposition was monitored in three spatial zones (weeded circle, frond stack, interrow) using litter bags over 52 weeks, with sequential harvesting at 13 time points. Soil properties, litter quality, and environmental factors were analyzed using ANOVA and regression models. Results showed decomposition constants ranging from 0.0180 to 0.0258 week?¹ and half-life times of 16 to 32 weeks, with high fertilization treatments accelerating decomposition by 28% but reducing soil carbon (2.05% to 2.77%) below the litter bags compared to low fertilization (4.37%). Frond stack zones exhibited 35% faster decomposition while maintaining higher carbon levels. The regression model combining soil and frond C/N ratios explained 73% of the variance in decomposition. These findings reveal trade-offs between rapid nutrient cycling and carbon storage, demonstrating that sustainable oil palm production requires precision spatial management rather than uniform high fertilization. This study recommends implementing reduced-intensity inorganic fertilization, avoiding nutrient application in frond stacking zones, and expanding organic matter placement in inter-row areas. Future research should prioritize quantifying belowground carbon dynamics and fine root turnover to develop management frameworks balancing immediate productivity with long-term sustainability.
Environmental degradation and ecological resilience in arid ecosystems of Naâma (Algeria): A multi-index assessment over four decades Guerine, Lakhdar; Bendouina, Naîmi; Bourahla, Lame
Journal of Degraded and Mining Lands Management Vol. 12 No. 5 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.125.8923

Abstract

Over four decades (1984-2024), Naâma's arid ecosystems exhibited alarming environmental degradation, with climate trends showing a significant SPEI decline (-0.4 annually, p<0.001), indicating intensified drought, while land surface temperature surged by +3.5 °C (+0.085°C/year, p<0.001) 2.1 times faster than global warming rates. The Aridity Index rose (+0.0003/year, p = 0.002), confirming accelerated aridification, with a critical tipping point detected in 2000. Vegetation dynamics mirrored this crisis: NDVI declined significantly across all municipalities (-0.002/year, p<0.001), most severely in Asla (-0.0030/year) and Djenien Bourezg (-0.0028/year), while NDVI-based water stress (NDWI) also dropped (-0.0004/year, p<0.05). Only soil-adjusted SAVI showed relative stability, suggesting limited soil adaptation. Ecological resilience varied starkly among municipalities, with Kasdir and Mekmen Ben Amar demonstrating higher resistance (R = 0.15-0.18) and shorter drought recovery (1.5 years), contrasting with Asla and Djenien Bourezg’s vulnerability (R = 0.06-0.07) and prolonged recovery (3.8 years). The Synthetic Environmental Index (SEI) quantified this hierarchy: Asla and Djenien Bourezg faced critical degradation (SEI<-1.2), driven by thermal stress (LST weight: 0.28) and aridity (AI weight: 0.22), while Kasdir and Mekmen Ben Amar maintained moderate conditions (SEI>-0.5). All municipalities except Mekmen Ben Amar showed significant SEI declines, with Naâma’s degradation rate 2.3 times faster than the Mediterranean Basin, underscoring the urgent need for targeted restoration within Algeria’s Green Dam initiative.
Soil moisture monitoring for drought disaster mitigation using remote sensing on the volcanic landscape, Yogyakarta, Indonesia Sarastika, Tiara; Susena, Yusuf; Aji, Krishna; Ulfa, Uli
Journal of Degraded and Mining Lands Management Vol. 12 No. 5 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.125.8975

Abstract

Monitoring soil surface moisture is a crucial aspect of drought detection and management, significantly contributing to informed decision-making in agriculture and natural resource management. Remote sensing technologies have been widely applied to predict surface soil moisture. This study aimed to develop and analyze a surface soil moisture prediction model based on remote sensing data for drought mitigation. This research was conducted in the administrative area of Sleman Regency, Yogyakarta Special Region Province. This study employed a method that integrates field measurements with remote sensing-derived data to develop a predictive model of surface soil moisture. The model was constructed using the Extreme Gradient Boosting (XGBoost) machine learning algorithm. The modeling results yielded an R² value of 0.62 and an RMSE of 0.83. The model was then applied to generate spatial estimates of surface soil moisture for the period from May to October 2024. Spatially, all six months exhibited a consistent distribution pattern, with low soil moisture levels concentrated in the central southern part of the study area. The findings can serve as a basis for highlighting land management in line with SDG Goal 15, which aims to protect, restore, and enhance the sustainable use of terrestrial ecosystems, sustainably manage forests, halt and reverse land degradation, and halt biodiversity loss.

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