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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
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Using AHP-GIS for land suitability of Banggai Yam development in Banggai Island, Indonesia Katili, Hidayat Arismunandar; Widiatmaka, Widiatmaka; Syartinilia, Syartinilia; Firmansyah, Irman
Journal of Degraded and Mining Lands Management Vol. 12 No. 4 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.124.8351

Abstract

A major challenge for the country is ensuring sufficient food production to meet the demands of its growing population. To address this issue, it is essential to enhance local root crop production as future food security. This study aims to assess the available and suitable land for Banggai Yam cultivation. The Multicriteria Evaluation Method was utilized to evaluate land suitability, while land availability was determined by integrating land use and land cover actual, forest area, and spatial pattern maps. The analysis revealed that 99,197 hectares are available for crop development. Expert assessment using the Analytic Hierarchy Process identified key land parameters such as cation exchange capacity, Base saturation, texture, and climatic factors like rainfall vital for determining land suitability, totaling 232,250.7 hectares. The combined maps indicated 95,301.6 hectares as potential development areas, with highly suitable land at 2.8%, moderately suitable land at 29%, and marginally suitable land at 8.3%. Conversely, land classified as unsuitable for cultivation constitutes 59.9%. These findings provide valuable insights for government officials, farmers, and researchers to optimize land use for these crops as a means to meet national food requirements.
Enhancing tailing quality with Pistia stratiotes as an ameliorant for sustainable crop cultivation: a case study using fruit vegetable Taberima, Sartji; Prabawardani, Saraswati; Mawikere, Nouke L.; Fenetiruma, Obadja A.; Luhulima, Fiona Djunita Natalia; Ubra, Emillia Farida
Journal of Degraded and Mining Lands Management Vol. 12 No. 4 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.124.8459

Abstract

Tailing land reclamation aims to enhance the environment and improve the condition of tailing land, transforming it into more productive areas suitable for plant cultivation. This study examined the utilization of tailings (residues from PT Freeport Indonesia's mining product processing activities) in tomato cultivation. The research was conducted at Mile 21.5, Timika, from March to September 2022. The primary objective was to evaluate the improvement of tailing quality for crop cultivation, as reflected by the growth and yield of tomatoes, using Pistia stratiotes compost as an ameliorant. The experiment was designed using a Randomized Block Design (RBD) approach, comprising five levels of compost dosage (PS 0 = 0 kg/plant, PS 1 = 1 kg/plant, PS 2 = 2 kg/plant, PS 3 = 3 kg/plant, and PS 4 = 4 kg/plant), with six replications per treatment. The analysis demonstrated a significant enhancement in tailing quality, as indicated by the increased soil nutrient concentrations after the application of Pistia stratiotes compost. Moreover, the treatment had a significant positive effect, with tomato plants receiving the ameliorant exhibiting higher productivity compared to those without treatment.
Rice growth and the associated phosphate solubilizing bacteria on an Alfisol treated with insecticide and endophytes inoculum Shofiyah, Laily; Sudadi, Sudadi; Cahyani, Vita Ratri
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.2025.125.8481

Abstract

The long-term use of excessive amounts of chemical fertilizers and pesticides adversely affects soil fertility, crop productivity, and biodiversity of soil and endophytes microbes. This study evaluated the ability of endophytic bacteria isolated from rice plants to enhance soil fertility, promote plant growth, and induce rice plant resistance on Alfisols treated with insecticide 10x usage dose (chlorantraniliprole 100 g L-1 and thiamethoxam 200 g L-1), and also assessed the diversity and population density of the associated phosphate solubilizing rhizospheric and endophytic bacteria. Three isolates of Burkholderia sp. YErOI-1 (I1), Bacillus sp. NErOI-2 (I2), Burkholderia sp. PElOI-3 (I3) and a mixture of three isolates (I4) were tested in combination with (P1) and without (P0) insecticide treatments in the pot cultivation of rice Inpari 32 using Alfisols in a completely randomized factorial design with three replications. The results showed that the control (I0P0) demonstrated higher plant growth compared to I0P1, indicated insecticide treatment resulted in toxicity effect. Among all the treatments, I2P0, I2P1, and I1P0 yielded the highest plant growth, whereas the lowest was indicated by I1P1. The rice associated phosphate solubilizing rhizospheric and endophytic bacteria indicated the highest population density and diversity index on the treatments I3P0 and I3P1 which significantly correlated with the highest P concentration and P uptake in these two treatments. Isolate I2 showed the strongest effect in inducing plant growth to insecticide resistance, in contrast isolate I1 showed no support in inducing plant resistance to insecticide. Further study is needed to examine the effect of the present assessed endophytes in other type of pesticide treatments.
Comparison of soil physical quality index based on simple additive SQI and statistically modeled SQI methods for watershed management in Rembangan, Indonesia Hermiyanto, Bambang; Tika, Sukma Agustin Dyan; Budiman, Subhan Arif; Mandala, Marga; Fitriani, Vivi; Basuki, Basuki
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.2025.125.8493

Abstract

The physical quality of soil is determined by quantitative measurement tools, which are expressed in the form of soil quality indices. Methods for determining soil quality have been developed, but none have been standardized. This research aimed to determine the results of the soil physical quality index based on two methods, namely 1) simple additive SQI, and 2) statistically modeled SQI, followed by a sensitivity test to determine which method is more sensitive. This research was conducted in the Rembangan Sub-watershed, which comprises five sub-districts: Jelbuk, Arjasa, Patrang, Sukorambi, and Panti, with elevations ranging from 125.91 to 854.67 meters above sea level. Based on the paired t-test results, the soil physical quality index between the two methods was significantly different, with a p-value of 0.002. Meanwhile, the sensitivity test results showed that the statistically modeled method was more sensitive than the simple additive method. Thus, the statistically modeled method is the method that can be used to assess the soil physical quality index for land management guidance. The poor or low-quality class dominates the soil quality class, covering an area of 2,088.43 ha (79.43%). Land management actions based on soil quality are divided into three criteria: 1) “fixed efforts” for low-quality soil, 2) “enhanced efforts” for medium-quality soil, and 3) “maintenance efforts” for good-quality soil.
Assessing Pb and Cd levels in the water of Kapuas River of Central Kalimantan using water hyacinth as a biomonitor plant Olfa, Maria; Santoso, Heri Budi; Rakmawati, Rakmawati; Mintowati, Evi Kuntorini
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.2025.125.8525

Abstract

This study evaluated heavy metal pollution in the Kapuas River, Central Kalimantan, with a focus on lead (Pb) and cadmium (Cd). This study focused on the Kapuas River due to the high anthropogenic activities that cause pollution and the lack of previous biomonitoring studies. Water and water hyacinth (Eichhornia crassipes) samples were collected from four locations in Kapuas Regency between March and April 2023 using a purposive sampling method. This study aimed to evaluate the levels of Pb and Cd in water bodies and the roots of water hyacinth in the Kapuas River. The results showed that the Pb concentration in river water averaged 0.00184-0.00451 mg/L, and Cd in river water averaged 0.00182-0.02595 mg/L, indicating that the river water has been contaminated with Pb and Cd but still within the quality standard. The Pb concentration in water hyacinth roots averaged 4.98-7.33 mg/kg, while the Cd concentration was <0.001 mg/kg. The pollution index of the Kapuas River ranged from 2.29 to 3.08, classified as lightly polluted. The correlation between Pb in the roots of water hyacinth and the water was between -0.60 and -0.89, indicating that the lower the Pb in the water, the higher the Pb in the roots of water hyacinth. Therefore, water hyacinth has the potential to be a bioindicator of Pb pollution.
Heavy metals in water and sediment of Way Ratai River due to small-scale gold mining activities in Pesawaran Regency, Lampung Province (Part II: zinc, copper, cadmium, iron, and manganese) Istighfara, Vedelya; Dermiyati, Dermiyati; Rinawati, Rinawati; Prasetia, Hendra; Fasya, Muhammad Rizki Firdaus
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.2025.125.8705

Abstract

Heavy-metal contamination in river systems poses an escalating threat to aquatic ecosystems and public health. This study provides the first integrated geospatial assessment of zinc (Zn), copper (Cu), cadmium (Cd), iron (Fe), and manganese (Mn) in water and sediment of the Way Ratai River, an area increasingly impacted by artisanal gold processing. Inductively coupled plasma optical emission spectroscopy (ICP-OES) and X-ray fluorescence were used to evaluate water and sediment samples that were gathered at five key locations. Spatial interpolation via ArcGIS with an inverse distance weighting algorithm identified contamination hotspots. In river water, Zn averaged 0.05 ppm, Mn 0.009 ppm, and Fe 0.075 ppm, while Cd and Cu were below detection limits. Sediment concentrations were markedly elevated: Zn 702.62 ppm, Mn 685.60 ppm, Fe 2,954.72 ppm, and Cu 253.84 ppm. All detected metals exceeded regional background thresholds, particularly near gold-processing effluent zones, indicating significant geochemical accumulation. These findings underscore the urgent need for stringent waste-management protocols—such as coagulation and adsorption systems—to mitigate heavy-metal release and protect downstream ecosystems and human communities. This research closes a critical data gap and offers a spatially resolved framework for monitoring and remediation strategies in mining-impacted watersheds.
Geo-spatial dynamics and machine learning insights: SVM and RF-driven land use and cover change detection in São Paulo, Brazil Lavanya, G; Rajamurugadoss, J; Sujatha, V; Kachancheeri, Muhammed Shameem; Kannan, SPM; Gupta, Rupesh; Sivakumar, Vivek
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.2025.125.8509

Abstract

A quantitative evaluation of land-use/land-cover (LULC) changes is required due to the rapid acceleration of LULC change in recent decades, which has been influenced by population growth, economic expansion, and industrial development, particularly in emergent nations. The Sao Paulo region in Brazil faces significant LULC changes due to industrial development, urbanization, and agricultural growth, impacting ecosystems, biodiversity, and water supplies. Addressing these changes involves using Landsat satellite data, sustainable land management, conservation programs, and community involvement. This study compares random forest (RF) and support vector machine (SVM) techniques for classifying LULC features. RF achieved higher accuracy (0.89) compared to SVM (0.76). LULC distribution in 1993 was 3% water, 20% agriculture, 49% forests, 27% built-up, and 1% barren. Projections for 2023 show changes to 2% water, 35% agriculture, 42% forests, 35% built-up, 3% barren, and 5% mining. RF is identified as the superior classifier, though further testing in diverse conditions is recommended.
Hydrochemical characterization and assessment of groundwater quality from mining areas of Jakhaura Block, Lalitpur District, and remedial measures Bisen, Utkarsh; Singh, S.P.
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.2025.125.8885

Abstract

The current study endeavored to assess the impact of mining on groundwater quality and to evaluate the hydrochemical characteristics of groundwater in the Jakhaura Block. In the present study, 28 samples were collected from different sites in the study area. pH, TDS, EC, Ca2+, Mg2+, K+, Na+, Cl-, SO42-, CO32-, HCO3-, F-, NO3- were determined. The BIS (2012) and WHO standards for drinking purposes were compared to estimate the deviation for the different parameters. The major cation concentration showed a trend of Ca2+>Na+>Mg2+>K+, and the major anion concentration showed the trend HCO3->Cl->CO32->SO42-. Piper trilinear plot and Chaddha diagrams suggest that the Ca-Mg-HCO3 recharging water type condition prevails in the major part of the area. In a few places, this is observed; the reverse ion exchange water type is also present. The Piper plot also suggests that most of the water is calcium bicarbonate type. Drinking, irrigation, and industrial suitability of groundwater were analysed using KR, SAR, and RSC, which suggest that groundwater is suitable for agriculture. Corrosivity Ratio (CR) calculated for Industrial suitability. Water Quality Index (WQI) was also calculated, which suggests deterioration of groundwater in the eastern region of the study area. At places Jakhaura in the north, Bansi in the East and Lalitpur in the South of the study area show very high values of WQI and require serious attention. A Research action plan was also discussed to overcome the effects of mining on the groundwater quality.
Cadmium (Cd) heavy metal reduction in liquid and soil using indigenous soil bacteria isolated from Cd-contaminated paddy fields Hadi, Sapto Nugroho; Haryanto, Totok Agung Dwi; Tamad, Tamad; Ahadiyat, Yugi R.
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.2025.125.8561

Abstract

The challenge in Indonesian agriculture is the contamination of cadmium (Cd) in rice fields. Cadmium contamination in rice fields is a serious environmental and health problem. Reducing Cd contamination from rice fields is essential. One way is through the use of indigenous microbes. The study aimed to obtain indigenous bacteria from Cd-contaminated rice fields and determine their ability to reduce Cd contamination in liquid and soil media. Soil samples were taken from six locations of Cd-contaminated rice fields in Banyumas Regency, Central Java, Indonesia. The population of soil bacteria was calculated. Selected isolates were tested for their tolerance and ability to reduce Cd. Potential isolates were identified based on their 16S rDNA sequences. The results showed that the most prominent Cd-tolerant bacteria were found in soil samples from Ajibarang, with 1.8 × 106 CFU/g of soil. The study obtained five isolates with high tolerance to Cd, up to 100 ppm, and was able to reduce Cd by 45.58% to 70.02% in liquid media and from 0.92 ppm to 0.02 ppm in soil media. All bacterial isolates are non-pathogenic to plants. Isolate GML2, SRU2, and KBS1 were from Priestia megaterium, JTL1 was from Neobacillus ginsengisoli, and PLK1 was from Gottfriedia sp. The isolates have the potential to be used to reduce Cd contamination and remediate rice fields contaminated with Cd.
Spatial analysis of soil erosion vulnerability in the Mandovi River watershed, India, using RUSLE and geospatial techniques Gawas, Roshna; Kerkar, Pravina; Sawant, Sushant
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.2025.125.8535

Abstract

The current study aimed to estimate potential soil loss in the Mandovi River watershed using the Revised Universal Soil Loss Equation (RUSLE) model and geospatial techniques. The Mandovi Basin, a tropical coastal region in India with a drainage area of 2,047 km², experiences significant soil erosion. To achieve this, key RUSLE factors, including rainfall erosivity (R factor), soil erodibility (K factor), topographic factors (LS factor), cover management (C factor), and conservation practices (P factor), were obtained from satellite-based datasets. Thematic layers associated with all five RUSLE factors were developed through Geographic Information System (GIS) techniques. ArcGIS software was used to merge these layers and create the final soil erosion map of the watershed. The results revealed that soil loss within the Mandovi watershed varies between 0 and over 50 t ha?¹ yr?¹ with a mean value of 14.2 t ha?¹ yr?¹. Based on the calculated soil loss risk rates, the watershed was classified into five erosion severity classes: very high, high, moderate, low, and very low erosion risk. The findings indicate that approximately 52.42% of the Mandovi watershed falls under a very low risk of erosion, while a relatively small portion, around 5.28%, is exposed to a very high risk of erosion. The factors contributing to the high rate of erosion in the study area are the presence of barren land, steep terrain, high rainfall erosivity, and lack of adequate soil conservation measures. Identifying soil loss in the Mandovi watershed will support sustainable management of land and water resources.

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