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INDONESIA
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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Land use/land cover (LULC) changes modeling and susceptibility mapping using the binary logistic regression at the territorial level in eastern DR Congo Nteranya, Jean Nacishali; Kiplagat, Andrew; Ucakuwun, Elias K.; Nzabandora , Chantal Kabonyi
Journal of Degraded and Mining Lands Management Vol. 11 No. 4 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.114.6399

Abstract

The Land Use and Land Cover (LULC) changes are commonly used to determine the landscape conditions and have significant impacts on the earth's surface processes. During the last three decades, there has been an acceleration of LULC changes in Eastern DR Congo. However, there is no comprehensive overview of the drivers of these changes at the territorial level in this region, even though the knowledge of these drivers is important for land use planning and spatial modeling of environmental changes. Using the Kalehe Territory as a case study, this work sought to fill this gap by analyzing the drivers of LULC changes during the 1987-2020 period. A mixed approach combining remote sensing, Geographic Information System, and logistic regression modeling was used. The results indicated that the prominent LULC changes in the study area are deforestation, built-up area expansion, cropland expansion, and shrubland expansion. These changes are significantly influenced by biophysical factors (slope, altitude, and soil type), conservation zoning, population dynamics, and accessibility factors at different levels. The occurrence of conservation zones decreases the susceptibility to deforestation, built-up land, and cropland expansions. In contrast, the proximity factors (distance to road, artisanal mining, and locality) increase the susceptibility to LULC changes. These factors can be integrated into spatial models to forecast LULC changes susceptibility in this region. Furthermore, the establishment of future land use management policy at the territorial level in eastern DR Congo should be space-specific as the susceptibility of LULC changes shows a spatial trend.
Effect of plant growth-promoting rhizobacteria (PGPR) on growth and yield of shallots on saline soils Rahmandhias, Deris Trian; Karyawati, Anna Satyana; Hariyono, Didik; Maghfoer, Mochammad Dawam
Journal of Degraded and Mining Lands Management Vol. 11 No. 4 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.114.6461

Abstract

Soil salinity is a limiting factor in agricultural productivity. One of the biological approaches to mitigate the impact of salt stress on plants is inoculating plant growth-promoting rhizobacteria (PGPR) to the plant roots. This study aimed to investigate the eff of PGPR dosage on the growth and yield of shallots at various salinity levels. This study was carried out in the experimental field of Poncokusumo, Malang. The treatments tested consisted of two factors. The first factor was soil salinity level, consisting of four levels: no salinity, NaCl 50 mM, NaCl 100 mM, and NaCl 150 mM. The second factor was PGPR concentration, consisting of four levels: no PGPR, PGPR 10 mL/L, PGPR 20 mL/L, and PGPR 30 mL/L. The sixteen treatment combinations were arranged in a randomized block design with three replications. The data obtained were subjected to the analysis of variance (ANOVA) at a significance level limit of 5%, followed by the Honestly Significant Difference (HSD) test at a 5% significance level for any significant differences. The results showed that the application of 30 mL/L of PGPR reduced EC of the soil and improved plant height, plant dry weight, leaf area, bulb diameter, bulb weight, and the number of bulbs per plant by 33%, 47.3%, 81%, 13%, 34.2%, 98.5%, and 31%, respectively, compared to the treatment without PGPR application under NaCl 150 mM salinity. The application of PGPR at 20 and 30 mL/L dosages significantly increased chlorophyll, flavonoid, and proline indices at NaCl at 100 mM and 150 mM salinity levels compared to the treatment without PGPR.
Perceptions on the environmental impacts of illegal river sand mining in the Limpopo Province, South Africa Rapholo, Maropene Tebello Dinah; Rampedi, Isaac Tebogo; Sengani, Fhatuwani
Journal of Degraded and Mining Lands Management Vol. 11 No. 4 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.114.6285

Abstract

Illegal river sand mining in regions like the Limpopo Province poses severe threats to ecosystems and communities. Nevertheless, the community's perspectives concerning these effects have not been determined. Thus, the aim of the investigation was to assess community perceptions regarding the environmental consequences linked to river sand mining in the Limpopo Province, South Africa. The study employed mixed methods to acquire the primary data. The quantitative data were acquired using questionnaires; meanwhile, the qualitative data were collected through semi-structured interviews from various respondents. The demographic profile of the respondents indicated a predominantly male population, with a majority lacking formal qualifications. Additionally, the prevalence of very high unemployment rates in the area seemed to influence participation in the activity. Consequently, some perceived it as an economic opportunity to generate income for their sustenance. It has been found that as developments increase, the demand for river sand increases as well, leading to a high extraction rate of sand. Lastly, the extraction of the resources was found to be un-regulated or controlled; therefore, it is concluded that unregulated extraction of these resources resulted in a high extraction rate and environmental crises such as un-rehabilitated pits, water pollution, land pollution, among others. It is therefore recommended that collaborative efforts among relevant authorities to enforce stringent regulations and penalties. Equally vital are public awareness campaigns, which can play a pivotal role in educating communities about the environmental repercussions of illegal sand mining.
Optimizing coffee yields in agroforestry systems using WaNuLCAS model: A case study in Malang, Indonesia Fitra, Ahmad Ali Yuddin; Oakley, Simon; Prayogo, Cahyo; Ratna Sari, Rika; Saputra, Danny Dwi; Ishaq, Rizqi Maulana; Suprayogo, Didik
Journal of Degraded and Mining Lands Management Vol. 11 No. 4 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.114.6337

Abstract

Agroforestry systems have significant potential for development in increasing coffee production in Indonesia. Besides providing economic benefits, agroforestry can also have ecological impacts, such as improving soil structure, reducing erosion, and other environmental services. There is a complex interaction between trees, soil, and crops in agroforestry systems, making modeling a valuable approach to unraveling these processes. We utilized the spatial and temporal explicit model WaNuLCAS to (i) evaluate the model's performance in depicting actual events (through coffee production and soil water content), (ii) assess the dynamic processes influencing coffee production and the environmental impact of management patterns, (iii) formulate and simulate optimal scenarios for coffee production optimization. Data from a one-year period involving five agroforestry management patterns for coffee-pine in UB Forest were used as input for the model. The model validation results showed satisfactory and acceptable outcomes for coffee production and groundwater dynamics. WaNuLCAS simulation results indicated that pruning and thinning management are crucial factors in increasing coffee production and are related to creating optimal conditions for coffee plants (light, humidity, and inter-plant competition). Additionally, fertilization management can be combined as a supporting factor to meet the nutritional needs of coffee plants. WaNuLCAS simulation results also suggested that pruning and thinning can improve soil physical properties, but thinning increases surface runoff within the system. This research provides insights into how modeling can be used as a decision-making tool.
Carbon emission and environmental cost from coal production in Indonesia Mahroini, Zahidah; Chien, Yu-Lan
Journal of Degraded and Mining Lands Management Vol. 11 No. 4 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.114.6387

Abstract

Indonesia primarily exports coal, with an average annual quantity of over 421 million tonnes in the past decades (2011-2020), reaching its peak at 616 million tonnes in 2019. Despite its economic benefits, coal production carries hidden costs. This research delves into using life cycle assessment (LCA) to gauge the environmental impact of coal production and estimate external cost (EC) related to Greenhouse gases (GHG) and air pollutants (AP). The study applied the benefit transfer method to make these estimations, focusing on coal mining and international transport processes. The findings revealed that over the past decades, per tonne coal mining contributed an estimated EC of $12.54-15.26 for GHG and $3,439-5,250 for AP, while transport abroad per-tonne-km coal incurred an EC of $19.98-23.94 for GHG and $19.58-23.30 for AP. Moreover, coal mining contributes to water pollution and substantial water depletion. Despite the coal production in Indonesia generating around $40 billion in revenue in 2020, the study shows that the total EC from GHG and AP is up to $2,131 billion, which is 53 times the revenue, posing serious health and ecological risks to Indonesians and exacerbating global climate change. Notably, these estimates exclude EC from water pollution (WP) and water depletion. With the global push towards ‘net zero emissions’, the coal industry as a whole faces an urgent need to curb its GHG and AP emissions from its.
Analyzing land use changes and wetland dynamics: Muthurajawela urban wetland and its surroundings, Sri Lanka Dahanayake, Harsha Dias; Dahanayaka, DDGL; Hudson, Paul; Wickramasinghe, Deepthi
Journal of Degraded and Mining Lands Management Vol. 11 No. 4 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.114.6441

Abstract

Land Use and Land Cover changes (LULC) exert a substantial influence on human life and environmental well-being. This research utilized the Intensity Analysis (IA) method to assess LULC change intensities spanning from 2000 to 2021 in the Muthurajawela coastal wetland (MW) and its 5km buffer zone (MB) along the west coast of Sri Lanka. The research employed Landsat Thematic Mapper (TM) and Optical Land Imager (OLI) Remote Sensing Images. The supervised classification was used to accurately identify waterbodies, thick vegetation, other vegetation, settlements, and open areas with an average of 86% accuracy. The study revealed that the MW experienced a fast Interval level intensity shift during 2000-2010, followed by a slower pace during 2010-2021. Conversely, the MB displayed a consistently fast Interval level intensity throughout both time intervals. Notably, waterbodies in MW decreased by 19.6%, while settlements witnessed a gain of 19.1% over the entire period. Transition Level (TL) analyses underscored the transformation of water bodies to open areas (6.75% in 2000-2010) and open areas to settlements (5.38%). In MB, other vegetation saw a significant decrease of 33.7%, with settlements registering a notable increase of 39.4% over the entire period. The study emphasizes urgent action for sustainable land use development in the face of rapid urbanization within the study area.
Combining biochar with sediment in the treatment for the effectiveness of sulfate and heavy metal Pb reduction of acid mine drainage Fahruddin, Fahruddin; Syahri, Yolanda Fitria; Fauziah, St.; Samawi, Muhammad Farid; Johannes, Eva; Tambaru, Elis; Tuwo, Mustika; Abdullah, As’adi
Journal of Degraded and Mining Lands Management Vol. 11 No. 4 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.114.6329

Abstract

The increasing mining activities have led to the problem of acid mine drainage (AMD) pollution. A method that combines biochar treatment as an adsorbent with wetland sediment treatment as a source of sulfate-reducing bacteria is used to address AMD effectively. This research aimed to determine the ability of biochar in combination with wetland sediment treatment to reduce sulfate and heavy metal content in acid mine drainage wastewater. This research was conducted on a laboratory scale in an AMD wastewater treatment reactor with the following treatments of biochar mixed with wetland sediment. Observations included sulfate content, pH, and heavy metal content. Scanning electron microscope (SEM) analysis was also performed on the biochar. SEM observations revealed the presence of small, dense, and irregularly shaped pores on the surface of the biochar. The results on day 30 showed that biochar mixed with wetland sediment was able to reduce sulfate concentration by 74.19% and reduced Pb by 73.79%, compared with treatment sediment only to 64.81% sulfate concentration and reduced Pb by 53.85%, treatment biochar only had reduced sulfate of 46.90% and reduced Pb by 58.67% and control 1.79% sulfate concentration and reduced Pb by 1.87%.
Study of nitrogen status in different planting systems and organic fertilizer doses in sandy soil Soeparjono, Sigit; Bintoro, Jatmiko Hardi; Khozin, Mohammad Nur; Putri, Widya Kristiyanti; Restanto, Didik Pudji
Journal of Degraded and Mining Lands Management Vol. 12 No. 1 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.121.6789

Abstract

This study was conducted to determine the effect of different jajar legowo planting systems in intercropping sweet corn with peanuts, as well as the addition of several doses of organic fertilizer on soil nitrogen status and plant leaf tissue on sandy soil. The research was conducted from January to May 2023, on the south coast of Jember Regency. The study used a split-plot design; the main plot consisted of the treatment of 2:2 (A1) and 4:2 (A2) jajar legowo intercropping systems. The subplots were different doses of cow dung organic fertilizer: 10 t ha-1 (B1), 20 t ha-1 (B2), and 30 t ha-1 (B3), each repeated three times. Observational data were analyzed by ANOVA and DMRT 5%. The results of the study showed that the combination of the planting system and organic fertilizer doses applied had not been able to provide optimal microclimate and soil properties for the growth and development of sweet corn plants. The A2 planting system provides a better microclimate and plant morphology for plant N availability and absorption. The addition of organic fertilizer up to the highest dose (B3) has not been able to maintain optimal soil water and N availability for sweet corn in sandy soil.
A comprehensive survey exploring the application of machine learning algorithms in the detection of land degradation Hediyalad, Gangamma; Ashoka , K; Hegade, Govardhan; Gaonkar, Pratibha Ganapati; Pathan, Azizkhan F; Malagatti, Pratibhaa R
Journal of Degraded and Mining Lands Management Vol. 11 No. 4 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.114.6471

Abstract

Early and reliable detection of land degradation helps policymakers to take strict action in more vulnerable areas by making strong rules and regulations in order to achieve sustainable land management and conservation. The detection of land degradation is carried out to identify desertification processes using machine learning techniques in different geographical locations, which are always a challenging issue in the global field. Due to the significance of the detection of land degradation, this article provides an exhaustive review of the detection of land degradation using machine learning algorithms. Initially, the current status of land degradation in India is presented, along with a brief discussion on the overview of widely used factors, evaluation parameters, and algorithms used. Consequently, merits and demerits related to machine learning-based land degradation identification are presented. Additionally, solutions are prescribed in order to reduce existing problems in the detection of land degradation. Since one of the major objectives is to explore the future perspectives of machine learning-based land degradation detection, areas including the application of remote sensing, mapping, optimum features, and algorithms have been broadly discussed. Finally, based on a critical evaluation of existing related studies, the architecture of the machine learning-based desertification process has been proposed. This technology can fulfill the research challenges in the detection of land degradation and computation difficulties in the development of models for the detection of land degradation.
Growth and physiology responses of Samanea saman inoculated with arbuscular mycorrhizal fungi in silica post-mining soil media using biodegradable pots Harus, Johanes S; Budi, Sri Wilarso; Sukendro, Andi; Mansur, Irdika
Journal of Degraded and Mining Lands Management Vol. 12 No. 1 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.121.6613

Abstract

Arbuscular mycorrhizal fungi (AMF) and biodegradable pots are environmentally friendly and enhance plant growth in adverse soil conditions. These studies explored AMF interactions and biodegradable pots in physiology, growth, and the uptake of nutrients in Samanea saman seedlings. The present research interactive effects of biodegradable pots with different compositions and raw material sizes with and without AMF inoculation on S. saman grown in silica post-mining soil media. Results indicated AMF inoculations significantly improved leaf chlorophyll content, photosynthetic rate, heights, diameters, biomass, as well as nutrient absorption of S. saman as compared with non-inoculated plants in biodegradable pots. AMF and biodegradable pots composed of 15% used newspaper, 70% compost, 5% cocopeat, and 10% rock phosphate showed the best results and increased the leaf chlorophyll content, photosynthesis rate, height, diameter, and total biomass of the plants by 161.1%, 208.7%, 263.6%, 118.1%, and 269.9%, respectively, compared to biodegradable pots composed only of used newspaper. Additionally, uptake of the nutrients nitrogen, phosphate, potassium, and magnesium increased by 365%, 800%, 369%, and 250%, respectively. By the fourteenth week after transplanting, the C/N ratio of the organic pot decreased significantly. Thus, AMF and biodegradable pots containing compost and rock phosphate interact positively and enhance the growth of S. saman under adverse soil conditions. These findings suggest that biodegradable pots containing compost and rock phosphate show potential as more environmentally friendly replacements for plastic bags (polybags) as growth medium containers for seedling production.

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