Proper Land Use Research Articles

Mapping flood prone and Hazards Areas in rural landscape using landsat images and random forest classification: Case study of Nasia watershed in Ghana

Floods are hazard which poses immense threat to life and property. Identifying flood-prone areas, will enhance flood mitigation and proper land use planning of affected areas. However, lack of resources, the sizable extent of rural settlements, and the evolving complexities of contemporary flood models have hindered flood hazard mapping of the rural areas in Ghana. This study used supervised Random Forest (RF) classification, Landsat 8 OLI, and Landsat 7 ETM + images to produce flood prone, Land Use Land Cover (LULC), and flood hazard maps of the Nasia Watershed in Ghana. The results indicated that about 418.82 km2 area of the watershed is flooded every 2–3 years (normal flooding) and about 689.61 km2 is flooded every 7–10 years (extreme flooding). The LULC classification produced an overall accuracy of 92.31% and kappa of 0.9. The flood hazard map indicated that land areas within hazard zones of the river include the Nasia community, Flood Recession Agricultural (FRA), rainfed and woodlands. When compared with a Modified Normalized Difference Water Index (MNDWI), the RF supervised classification had an edge over the MNDWI in estimating the flooded areas. The results from this study can be used by local administrators, national flood disaster management and researchers for flood mitigation and land use planning within the watershed.

Assessing Flood Vulnerability Index for Policy Implications Towards Flood Risk Management Along the Atlantic Coast of Limbe, Cameroon

Floods along the Atlantic coast of Limbe are the most predominant natural disaster posing serious threats to man and the environment. Without adequate information about the risk levels and why the implementation of locally appropriate adaptation measures are less effective, flood disasters will continue to become more rampant and disastrous. The ability to accurately identify, measure and evaluate the various vulnerabilities of affected people and communities is a right step towards reducing disaster risk. This article focuses on developing a Flood Vulnerability Index (FVI) based on exposure, susceptibility and resilience factors that will guide putting in place specific adaptation plans targeted at reducing the impacts of floods. The study made use of the mixed research design method. Reponses were gathered from 183 respondents using questionnaires and focus group discussions (FGD) from household heads to construct an integrated vulnerability index made up of 22 indicators grouped into susceptibility indicators (15), resilience (5) and exposure (2). A handheld Global Positioning System (GPS) was used in the measurement of distance and elevation. Data collected was subjected to analysis of variance to test if significant differences in vulnerability exist within the neighborhoods and the level of success of adaptation strategies was also investigated. Findings show that Motowo and Church Street have very small vulnerability to floods, Cassava Farm and Clerks Quarters have high vulnerability to floods and Down Beach with an index of 0.84 has a very high vulnerable to floods. From the results coastal communities are significantly different (p < 0.01) in terms of vulnerability to flood hazards. A total of 19.39% of the population highlighted that the adaptation strategies put in place to help combat floods in their neighborhoods are effective while 80.61% of the respondents decried that the measures were not effective. Coping strategies need to take into consideration the myriad of factors involved in the determination of vulnerability so as to help putting in place a comprehensive multi-risk adaptation strategy. Policies implications of the results warrant a conscious effort by the council to clear chocked gutters, culverts and major drains to ease water flow especially during the rainy seasons and local authorities and ministries must make sure proper land use plans are in place and are enforced without any fear or favor so as to ensure resilience to flood risks.

Quan Ho cultural space

Quan Ho singing is a unique cultural practice originated in Bac Ninh, Northern Vietnam. Various aspects of this custom from historical values to cultural impacts have been thoroughly examined. There is, however, no comprehensive study explores Quan Ho under the scope of urban planning and architecture. In recent years, Bac Ninh has been increasingly urbanized, leading to changes in multiple elements of Quan Ho culture, especially cultural space. This paper focuses on such cultural space, presents publicly available data, and collects data along with qualitative, quantitative and comparative analysis to address the effects of urbanization on Quan Ho cultural space. The paper considers characteristics, factors and changing trends of this cultural space, therefore confirms how transformation of Quan Ho cultural space is unavoidable. The paper also addresses planning and architectural requirements to harmonize between preservation and development. Among these requirements, the paper discusses in detail proper programming to optimize green spaces and limit over-urbanization, as well as planning original Quan Ho villages based on two distinctive models: adaptive preservation and development of new facilities on the old foundation. Proper landuse is suggested to build new living space to accommodate the evolving Quan Ho culture in modern society.

Irrigation suitability evaluation of Zamra irrigation scheme, Abergelle District of Wag-Himra Zone, Amhara Region Ethiopia

BackgroundAssessment of suitable lands for irrigation is indispensable to plan and implement different programs in a cost-effective approach for sustainable land use planning and efficient utilization of the land. Hence selecting proper land use based on land suitability evaluation will enhance the productivity per unit area and ensures the sustainable use of land resources. Therefore, the research was designed to evaluate the suitability of the soil properties of Zamra irrigation scheme for irrigation purposes.MethodFor this study about 195.16 ha of land were evaluated for irrigation suitablity. Four soil profile pits were opened in the representative site of the scheme based on slope, texture, soil color and soil depth. Soil samples were collected from the soil mapping units for analysis of texture, electrical conductivity, and calcium carbonate content, whereas slope, drainage and soil depth were directly measured at the field. The evaluation was carried out using a parametric evaluation method.ResultsThe results of the study revealed that four types of soils were identified namely, Rehodic Nitisol(eutric), Haplic Regosol (eutric) Eutric Regosol, Leptic Regosol (eutric, loamic), and Vertic Cambisol (Hypereutric). The soil texture consists of sandy loam and sandy clay loam at the surface and subsurface soil and the soil depth of study area varied from shallow to very deep. The soil of the scheme was free from salinity and the status of calcium carbonate was at a low level. The slope of the study area was ranged from flat (0–3%) to slopping (8–15%). Generally, 80.64 ha (41.32%) of the scheme was moderately suitable whereas 71.68 ha (36.73%) of the land was marginally suitable for irrigation. Due to major limiting factors of soil depth and slope about 42.84 ha of the land (21.95%) were not currently suitable for irrigation.ConclusionIn the study area, the major limitations were slope and soil depth. Therefore, to increase production and productivity of the scheme, land improvement operations are suggested.

Analyzing Urban Growth Pattern and Driving Factors Using Remote Sensing and GIS: A Case Study of Banepa Municipality, Nepal

Nepal is considered one of the rapidly urbanizing countries in south Asia. Most of the urbanization is dominated in large and medium cities i.e., metropolitan, sub-metropolitan, and municipalities. Remote Sensing and Geographic Information System (GIS) technologies in the sector of urban land governance are growing day by day due to their capability of mapping, analyzing, detecting changes, etc. The main aim of this paper is to analyze the urban growth pattern in Banepa Municipality during three decades (1992-2020) using freely available Landsat imageries and explore driving factors for change in the urban landscape using the AHP model. The Banepa municipality is taken as a study area as it is one of the growing urban municipalities in the context of Nepal. The supervised image classification was applied to classify the acquired satellite image data. The generated results from this study illustrate that urbanization is gradually increasing from 1992 to 2012 while, majority of the urban expansion happened during 2012-2020, and it is still growing rapidly along the major roads in a concentric pattern. This study also demonstrates the responsible driving factors for continuous urban growth during the study period. Analytical Hierarchy Process (AHP) was adopted to analyze the impact of drivers which reveals that, Internal migration (57%) is major drivers for change in urban dynamics whereas, commercialization (25%), population density (16%), and real estate business (5%) are other respective drivers for alteration of urban land inside the municipality. To prevent rapid urbanization in this municipality, the concerned authorities must take initiative for proper land use planning and its implementation on time. Recently, Nepal Government has endorsed Land Use Act 2019 for preventing the conversion of agricultural land into haphazard urban growth.

Analysis of Land Use Pattern for Tourism Management using GIS

Over the past few decades Sri Lankan tourism has been a story of untapped potential. The responsible parties have been unable to expand the footprint of tourism due to the lack of vision, coordinated planning and strategic commitment to the actions undertaken to accomplish a country's goal. Beyond question, the present tourism industry occupies an integral part of the economy of Sri Lanka. As a result, the negative impact of rapid and uncontrolled tourism development has become an inevitable critical issue. Regarding the indicated facts, this paper offers a remarkable aspect of tourism management defining proper land use patterns via GIS (Geographical Information Systems) for the identified tourism destinations in order to develop the tourism industry further on a both environmentally sustainable and economical platform. The study discusses the capabilities and shortcomings that are possible to encounter, brief description on GIS contribution and also the author's perspective relating to the future tourism strategic plan. Rooted in a GIS based analysis, the author anticipates to design a general framework to evaluate the proper land use systems as well as an infrastructure in effective transformation towards eco-tourism in Welipenna area through Bentota and Meegama river along with novel suggestions in conclusion.

Vanilla Husbandry and Fish Farming in Meru District, Arusha

Kaanaeli Agri Business intends to increase Vanilla production by establishing A DEMO Plot at Ngyeku Village and Conducting Seminars/workshops to Farmer’s groups, mainly on Sustainable Vanilla husbandry and Fish farming practices with affordable and customized methods involving: &#8226; Proper land use demarcation at household levels &#8226; Soil fertility management &#8226; Bio-intensive agriculture practices (Organic farming) &#8226; Environmental conservation and &#8226; To address Market issues, to medium and smallholder farmers of Meru district, Arusha-Tanzania.

Variation of soil organic carbon and physical properties in relation to land uses in the Yellow River Delta, China

Soil physical properties and soil organic carbon (SOC) are considered as important factors of soil quality. Arable land, grassland, and forest land coexist in the saline-alkali reclamation area of the Yellow River Delta (YRD), China. Such different land uses strongly influence the services of ecosystem to induce soil degradation and carbon loss. The objective of this study is to evaluate the variation of soil texture, aggregates stability, and soil carbon affected by land uses. For each land use unit, we collected soil samples from five replicated plots from “S” shape soil profiles to the depth of 50 cm (0–5, 5–10, 10–20, 20–30, and 30–50 cm). The results showed that the grassland had the lowest overall sand content of 39.98–59.34% in the top 50 cm soil profile. The content of soil aggregates > 0.25 mm (R0.25), mean weight diameter and geometric mean diameter were significantly higher in grassland than those of the arable and forest land. R0.25, aggregate stability in arable land in the top 30 cm were higher than that of forest land, but lower in the soil profile below 20 cm, likely due to different root distribution and agricultural practices. The carbon management index (CMI) was considered as the most effective indicator of soil quality. The overall SOC content and CMI in arable land were almost the lowest among three land use types. In combination with SOC, CMI and soil physical properties, we argued that alfalfa grassland had the advantage to promote soil quality compared with arable land and forest land. This result shed light on the variations of soil properties influenced by land uses and the importance to conduct proper land use for the long-term sustainability of the saline-alkali reclamation region.

A Socio-Spatial Analysis of Land Use Dynamics and Process of Land Intervention in the Peri-Urban Areas of Bahir Dar City

The contemporary urbanization and its implication to land use dynamics especially in the peri-urban areas are emerging as a cross-cutting theme in policy debates and scientific discourse. As most cities in developing countries, including Ethiopia, are experiencing continuous expansion of built-ups and dynamic land use changes, monitoring and an in-depth analysis of the past, present and future predictions of these changes are important for a holistic understanding of the problem, its consequence, and to regulate proper land use intervention options. Thus, the main objective of this research is to assess land use dynamics and processes of land intervention in the peri-urban areas of Bahir Dar city using a socio-spatial analysis. It assesses to what extent the existing peri-urban land intervention processes and land use decisions are effective in combating and controlling unwanted land use changes. Primary socio-economic data were collected using questionnaires, focus group discussions (FGDs) and key informant interviews; in addition, spatial data including Landsat and Sentinel imageries of 1993, 2001, 2011 and 2020 were utilized. Land use/land cover (LULC) classes were computed using the integration of spectral and object-based image classification techniques. The results signal that built-ups are expanding horizontally with unpredicted patterns. This is because the existing land intervention processes are lacking effectiveness to govern the spatial patterns of built-ups. The results further depict that processes of land use intervention do not only determine horizontal urban expansion but also determine the nature of people-to-land relationships, which involve both formal and informal processes. This creates haphazard, disputed and unregulated land use systems in peri-urban areas of Bahir Dar. The socio-spatial methodology applied in this research is effective in monitoring both the spatial and social dimensions of land use changes. The spatial results effectively demonstrate the dynamics of land uses; whereas, the social analysis supports understanding of the processes of land use interventions. In conclusion, monitoring processes of land use interventions are key policy and decision making directions to regulate and manage land use dynamics in the peri-urban area.

Flood-reduction scenario based on land use in Kedurus river basin using SWAT hydrology model

The rapid growth population phenomenon has causes excessive land demand for residential and economic activity. Moreover, the rapid urbanization also increases the contribution of land constrains. Land conversion from conservation to cultivation uses affects the surface runoff volume that leads to flooding. According to these problems, it is necessary to take steps to control flood in Kedurus Watershed. One of the proper urban development concept is the Water Sensitive City (WSC). The protection against flood in WSC can be accomplished with the land use arrangement that can reduces the surface runoff. The aim of this research is to determine the proper land use scenario to reduce floods in Kedurus Watershed. In order to reach this aim, the writer uses sensitivity analysis to identify the proper land use scenario to be applied in the watershed and SWAT to select the best scenario. The efforts to reduce flood through the land use scenario (scenario 2) could reduce the flood volume by 44,320.32 m3 or 8.11% of the total volume of flood in the area. The average reduction of flood volume in each sub basins is 12,92% and the highest number of reduction is 65,67% (sub basin 22).

Effects of Land Certification for Rural Farm Households in Ethiopia: Evidence from Gozamin District, Ethiopia

Economic theory notes tenure security is a critical factor in agricultural investment and productivity. Therefore, several African countries’ development initiatives enabled land titling to enhance tenure security. This paper examines the effect of land certification on tenure security, land investment, crop productivity and land dispute in Gozamin District, Ethiopia. In addition, the impact of land certification on farm households’ perceptions and confidence in land tenure and land use rights is investigated. Face-to-face interviews with 343 randomly selected farm households, group discussions and expert panels are the sources of primary data. Quantitative data are analyzed using various statistical tools and complemented by qualitative data. According to the results, most farm households (56%) feel that their land use rights are secure after the certification process. Only 17% fear that the government at any time could take their land use rights. The majority of farm households (71.7%) identified a reduction of disputes after certification and land management practices improved from 70.3% before certification to 90.1% after certification. As key factors for the increase of terracing and the application of manure, the study determined total farm size, the average distance from farm to homestead, perception of degradation, access to credit, training to land resource management, fear about land take-over by the government and total livestock holdings. Crop productivity improved significantly after land certification. The results should encourage policy makers to minimize the sources of insecurity, such as frustrations of future land redistribution and land taking without proper land compensation. Land certification is the right tool for creating tenure security, enhancing farmers’ confidence in their land rights and—supported by a proper land use planning system—improving land-related investments and crop productivity.

Identification and apportionment of nitrate sources in the phreatic aquifers in Northern Jordan using a dual isotope method (δ15N and δ18O of NO3-)

Contamination of groundwater resources from nitrates is a worldwide problem, and Jordan is not an exception. Source identification of contamination is a prerequisite for the protection of water resources and human health. Moreover, investigating the controlling processes of groundwater quality is essential for groundwater sustainability, especially in water-poor countries like Jordan. Environmental isotopes of nitrate (15N and 18O of NO3-) have been applied for the first time in Jordan to assess the origin and cycling of nitrogen pollution in two phreatic aquifer systems: Shallala aquifer (B5/B4) and Amman/Wadi Sir aquifer (B2/A7), hosted in multiple land use area in northern Jordan. The nitrate concentration exceeded the natural background (5–10 mg/L) in all samples, ranging from 14 to 251 mg/l as NO3- in both groundwater systems. About 46% of the samples showed NO3- concentration exceeding the WHO threshold of 50 mg/l in drinking water. Isotope values of nitrate (15N and 18O of NO3-) indicated that manure, urban wastewaters, and nitrified synthetic fertilizers were the main sources of nitrate in the groundwater resources in the study area. SIAR (Stable Isotope Analysis in R) model showed that synthetic fertilizers contributed least to nitrate in groundwater in the study area (average = 3.3%). Nitrified synthetic fertilizers contribution was higher in the B2/A7 aquifer (61%) than in B5/B4 aquifer (49%), whereas anthropogenic organic matter contribution in the B5/B4 (46%) is higher than in the B2/A7 aquifer (36%). Anthropogenic organic matter contribution in the B5/B4 aquifer varied from 20% in the west to 85% in east. Nitrified synthetic fertilizers contribution varied from 10% in the east to 74% in the west. Sustainable management of groundwater resources in the study area necessitates application of best management practices and proper land use planning.

Urbanization and Increasing Flood Risk in the Northern Coast of Central Java—Indonesia: An Assessment towards Better Land Use Policy and Flood Management

This study explores urbanization and flood events in the northern coast of Central Java with river basin as its unit of analysis. Two types of analysis were applied (i.e., spatial data and non-spatial data analysis) at four river basin areas in Central Java—Indonesia. The spatial analysis is focused on the assessment of LULC change in 2009–2018 based on Landsat Imagery. The non-spatial data (i.e., rural-urban classification and flood events) were overlaid with results of spatial data analyses. Our findings show that urbanization, as indicated by the growth rate of built-up areas, is very significant. Notable exposure to flood has taken place in the urban and potentially urban areas. The emerging discussion indicates that river basins possess dual spatial identity in the urban system (policy- and land-use-related). Proper land use planning and control is an essential instrument to safeguard urban areas (such as the case study area) and the entire island of Java in Indonesia. More attention should be put upon the river basin areas in designing eco-based approach to tackle the urban flood crises. In this case, the role of governance in flood management is crucial.

Edremit Körfezi’nde Tarımsal Arazi Kullanımı Uygunluk Düzeylerinin Değerlendirilmesi

The concept of agricultural production refers to the activities that people carry out to meet their nutritional needs. Such activities have been carried out since ancient times to meet the nutritional needs of people. The process of agricultural production interacts with the land at many stages. The relationship between land and agriculture is particularly visible in regards to production. Thus, the continuity of agricultural production depends on the proper use of the land. In short, ensuring sustainability in agriculture depends on proper land use. The aim of this study is to determine the suitability of cultivated lands for agricultural purposes and to compare the obtained results with current land use in the Gulf of Edremit and its surroundings using various criteria. The Analytical Hierarchy Process (AHS), based on Geographic Information Systems-based Multi-Criteria Decision Making (MCDM) analysis, was used to identify areas suitable for agriculture. According to the findings many settlements were established in fertile regions which were determined to be very suitable for agriculture. In addition, a transition zone consists of unproductive forest land was established between the forest area and agricultural land. The findings of our study showed that cultivated agricultural areas in our study area reached their upper limits when the environmental parameters were taken into consideration in determining the level of suitability of the land . Thus, it is understood that the forest cover faces the threat of new agricultural areas being opened in line with the increasing food need. The use of agricultural areas in accordance with their potential allowed for an increase in agricultural productivity within the study area. In addition, the careful utilization of agricultural lands within the scope of eligibility levels plays a key role in preventing the damage of the forest cover which hosts many ecosystems.

Analysis of Land Cover Change Detection in Gozamin District, Ethiopia: From Remote Sensing and DPSIR Perspectives

Land cover patterns in sub-Saharan Africa are rapidly changing. This study aims to quantify the land cover change and to identify its major determinants by using the Drivers, Pressures, State, Impact, Responses (DPSIR) framework in the Ethiopian Gozamin District over a period of 32 years (1986 to 2018). Satellite images of Landsat 5 (1986), Landsat 7 (2003), and Sentinel-2 (2018) and a supervised image classification methodology were used to assess the dynamics of land cover change. Land cover maps of the three dates, focus group discussions (FGDs), interviews, and farmers’ lived experiences through a household survey were applied to identify the factors for changes based on the DPSIR framework. Results of the investigations revealed that during the last three decades the study area has undergone an extensive land cover change, primarily a shift from cropland and grassland into forests and built-up areas. Thus, quantitative land cover change detection between 1986 and 2018 revealed that cropland, grassland, and bare areas declined by 10.53%, 5.7%, and 2.49%. Forest, built-up, shrub/scattered vegetation, and water bodies expanded by 13.47%, 4.02%, 0.98%, and 0.25%. Household surveys and focus group discussions (FGDs) identified the population growth, the rural land tenure system, the overuse of land, the climate change, and the scarcity of grazing land as drivers of these land cover changes. Major impacts were rural to urban migration, population size change, scarcity of land, and decline in land productivity. The outputs from this study could be used to assure sustainability in resource utilization, proper land use planning, and proper decision-making by the concerned government authorities.

Neighbourhood Spatial Pattern and Noise Disturbance in Benin City, Nigeria

Noise has an environmental challenge is increasing due to urbanization, industrialization and modernization. While residential noise pollution could have adverse effect on health and social wellbeing, little attention has been directed towards investigating the implications of spatial pattern of neighbourhood facilities on noise pollution in Nigeria. This study assessed how noise disturbance is related to spatial pattern within two neighbourhoods in Benin City, Nigeria. Structured questionnaires were used to elicit information from residents on demographics and neighbourhood characteristics while residential land-mix was observed through street mapping. Sixty-six participants were randomly selected from Government Reserved Area (GRA) and Ogbe quarters of Benin City. Result showed that the neighbourhood facilities which host commercial, transportation and industrial activities were the closest to the dwelling units while natural vegetation was the farthest. Also there was spatial variation in distribution of neighbourhood features especially the commercial and recreational areas which affects the noise exposure level. The study concludes that it is necessary to mitigate noise within residential neighbourhoods through proper land use and zoning strategies.

Sustainable Residential Building Considerations for Rural Areas: A Case Study

Intelligent use of rural residential land and sustainable construction is inexorably linked to cost; however, options exist that are eco-friendly and have a positive return on investment. In 2011, a research residence was built to evaluate various land-use and sustainable components. This Texas house has subsequently been used for both residential and research purposes. The purpose of this case study was to evaluate break-even construction considerations, to assess environmental impacts, and to evaluate qualitatively efficacy of sustainable options incorporated in the research residence. Some of the specific components discussed are home site placement (directional positioning); materiel acquisition (transportation); wood product minimization; rainwater harvesting; wastewater management; grid-tied solar array power; electric car charging via a solar array; geothermal heating and cooling; insulation selection; windows, fixtures, and appliance selection; and on-demand electric water heaters for guest areas. This study seeks to identify the impact of proper land use and sustainable techniques on the environment and return-on-investment in rural areas. Break-even and 15-year Net Present Value (NPV) analysis at 3% and 5% cost of capital were used to evaluate traditional construction, partially sustainable construction, and fully sustainable construction options for the case study house, which was built sustainably. The additional cost of sustainable construction is estimated at $54,329. At 3%, the analysis suggests a 15-year NPV of $334,355 (traditional) versus $250,339 million (sustainable) for a difference of $84K. At 5% cost of capital, that difference falls to $63K. The total estimated annual difference in carbon emissions is 4.326 million g/CO2e for this research residence. The results indicate that good choices for quick return-on-investment in rural construction would be the use of engineered lumber, Icynene foam, and Energy Star windows and doors. Medium-term options include photovoltaic systems (PVS) capable of powering the home and an electric car. Sustainable construction options should positively affect the environment and the pocketbook. Regulations and code should require adoption of short-range, break-even sustainable solutions in residential construction.

Comparison of three hybrid models to simulate land use changes: a case study in Qeshm Island, Iran.

Land use change simulation is an important issue for its role in predicting future trends and providing implications for sustainable land management. Hybrid models have become a recognized strategy to inform decision-makers, but further attempts are needed to warrant the reliability of their projected results. In view of this, three hybrid models, including the cellular automata-Markov chain-artificial neural network, cellular automata-Markov chain-logistic regression, and Markov chain-artificial neural network, were applied to simulate land use change on the largest island in Iran, Qeshm Island. The Figure of Merit (FOM) was used to measure the modeling accuracy of the simulations, with the FOMs for the three models 6.7, 5.1, and 4.5, respectively. Consequently, the cellular automata-Markov chain-artificial neural network most precisely simulates land use change on Qeshm Island and is, thus, used to simulate land use change until 2026. The simulation shows that the incremental trend of the built-up class will continue in the coming years. Meanwhile, the areas of valuable ecosystems, such as mangroves, tend to decrease. Despite the protection plans for mangroves, these areas require more attention and conservation planning. This study demonstrates a referential example to select the proper land use models for informing planning and management in similar coastal zones.

Effect of Land Use on Organic Carbon Storage Potential of Soils with Contrasting Native Organic Matter Content

This study aimed to determine the impact of land use on organic carbon (OC) pools of soils with contrasting native organic matter (OM) content. Surface (0–15 cm) soils of four land uses (cropland, orchard, grassland, and fallow) were collected from four agroecological zones (AEZs) of Bangladesh with different OM content (AEZ-7: very low, −3: low, −9: medium, and −5: high). Bulk soils were physically fractionated into particulate and mineral associated OM (POM and MOM: &gt;53 and &lt;53 µm, respectively). Both bulk and fractionated soils were analyzed for OC and nitrogen (N). Among the land uses, undisturbed soils (grassland and fallow land) had significantly higher total OC (0.44–1.79%) than disturbed soils (orchard and cropland) (0.39–1.67%) in all AEZs. The distribution of OC and N in POM and MOM fractions was significantly different among land uses and also varied with native OM content. In all AEZs, cropland soils showed the lowest POM-C content (0.40–1.41%), whereas the orchard soils showed the highest values (0.71–1.91%). The MOM-C was highest (0.81–1.91%) in fallow land and lowest (0.53–1.51%) in orchard, and cropland had a moderate amount (0.70–1.61%). In croplands, distribution of a considerable amount of OC in the MOM pool was noticeable. These findings reveal that total OC in soils can be decreased with cultivation but does not inevitably indicate the loss of OC storage in the stable pool. Carbon storage potential of soils with both high- and low-native OM contents can be increased via proper land use and managements.

Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers

In this study, we have developed five spatially explicit ensemble predictive machine learning models for the landslide susceptibility mapping of the Van Chan district of the Yen Bai Province, Vietnam. In the model studies, Random Subspace (RSS) was used as the ensemble learner with Best First Decision Tree (BFT), Functional Tree (FT), J48 Decision Tree (J48DT), Naïve Bayes Tree (NBT) and Reduced Error Pruning Trees (REPT) as the base classifiers. Data of 167 past and present landslides and various landslide conditioning factors were used for generation of the datasets. The results showed that the RSSFT model achieved the highest performance in terms of Fgiurepredicting future landslides, followed by RSSREPT, RSSBFT, RSSJ48, and RSSNBT, respectively. Therefore, the RSSFT model was found to be more robust model than the other studied models, which can be used in other areas of landslide susceptibility mapping for proper landuse planning and management.