Spatial-based assessment of land use, soil erosion, and water protection in the Jeneberang valley, Indonesia

Biologia ◽  
2009 ◽  
Vol 64 (3) ◽  
Author(s):  
Sumbangan Baja ◽  
Muhamad Ramli ◽  
Syamsul Lias
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Soil Erosion ◽  
Land Degradation ◽  
Agricultural Land ◽  
Sustainable Land Use ◽  
Water Protection ◽  
Large Area ◽  
Soil Erosion Rate ◽  
Analytical Procedures

AbstractSoil erosion by water is considered as one of the most significant forms of land degradation that affects sustained productivity of agricultural land use and water quality. It is influenced by a considerable number of factors (including climate, soil, topography, land use and types of land management), so that the information on the spatial distribution of soil erosion rate and its related effects can be effectively employed as a baseline data for land use development and water protection. The principal aim of this study is three-fold: (i) to map existing land use; (ii) to assess and map the spatial distribution of average annual rate of soil losses in the study area; (iii) to evaluate spatial matching between existing and proposed land use including a distance analysis from the water body (the Bili-Bili Dam). An analytical procedures used, respectively, include supervised classification of satellite imagery, application of RUSLE (Revised USLE), and overlay analysis in a raster GIS environment, utilising available information in the region covering some parts of Jeneberang catchment, South Sulawesi, Indonesia. The results suggest that the outputs of this study can be used for the identification of land units on a cell-basis with different land use types, rate of soil loss, inconsistency between proposed and planned land use, as well as the threat of land degradation to the main river and the dam. The analytical procedures developed in this research may be useful in other areas, particularly in the studies related to the assessment and mapping of land use and erosion for the importance of sustainable land use at a relatively large area.

scholarly journals Spatial Estimation of Soil Erosion Using RUSLE Modeling: A case study of Dolakha District, Nepal

2020 ◽  
Author(s):  
Pawan Thapa
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Agricultural Land ◽  
Decision Makers ◽  
Management Planning ◽  
Erosion Risk ◽  
Spatial Estimation ◽  
The North ◽  
Soil Erosion Rate ◽  
Severe Erosion

Abstract Background: Soil erosion causes topsoil loss, which decreases fertility in agricultural land. Spatial estimation of soil erosion essential for an agriculture-dependent country like Nepal for developing its control plans. This study evaluated impacts on Dolakha using the Revised Universal Soil Loss Equation (RUSLE) model; analyses the effect of Land Use and Land Cover (LULC) on soil erosion. Results: The soil erosion rate categorized into six classes based on the erosion severity, and 5.01% of the areas found under extreme severe erosion risk (> 80 Mg ha-1yr-1) addressed by decision-makers for reducing its rate and consequences. Followed by 10 % classified between high and severe range from 10 to 80 Mg ha-1yr-1. While 15% and 70% of areas remained in a moderate and low-risk zone, respectively. Result suggests the area of the north-eastern part suffers from a high soil erosion risk due to steep slope. Conclusions: The result produces a spatial distribution of soil erosion over Dolakha, which applied for conservation and management planning processes, at the policy level, by land-use planners and decision-makers.

scholarly journals Sediment Yield and Soil Loss Estimation Using GIS Based Soil Erosion Model: A Case Study in the MAN Catchment, Madhya Pradesh, India

2021 ◽  
Vol 8 (1) ◽  
pp. 26
Author(s):  
Manti Patil ◽  
Radheshyam Patel ◽  
Arnab Saha
Keyword(s):  
Spatial Distribution ◽  
Soil Erosion ◽  
Soil Loss ◽  
Crop Production ◽  
Erosion Rate ◽  
Agricultural Land ◽  
Reservoir Sedimentation ◽  
Reservoir Water ◽  
Slope Length ◽  
Soil Erosion Rate

Soil erosion is one of the most critical environmental hazards of recent times. It broadly affects to agricultural land and reservoir sedimentation and its consequences are very harmful. In agricultural land, soil erosion affects the fertility of soil and its composition, crop production, soil quality and land quality, yield and crop quality, infiltration rate and water holding capacity, organic matter and plant nutrient and groundwater regimes. In reservoir sedimentation process the consequences of soil erosion process are reduction of the reservoir capacity, life of reservoir, water supply, power generation etc. Based on these two aspects, an attempt has been made to the present study utilizing Revised Universal Soil Loss Equation (RUSLE) has been used in integration with remote sensing and GIS techniques to assess the spatial pattern of annual rate of soil erosion, average annual soil erosion rate and erosion prone areas in the MAN catchment. The RUSLE considers several factors such as rainfall, soil erodibility, slope length and steepness, land use and land cover and erosion control practice for soil erosion prediction. In the present study, it is found that average annual soil erosion rate for the MAN catchment is 13.01-tons/ha/year, which is higher than that of adopted and recommended values for the project. It has been found that 53% area of the MAN catchment has negligible soil erosion rate (less than 2-tons/ha/year). Its spatial distribution found on flat land of upper MAN catchment. It has been detected that 26% area of MAN catchment has moderate to extremely severe soil erosion rate (greater than 10-tons/ha/year). Its spatial distribution has been found on undulated topography of the middle MAN catchment. It is proposed to treat this area by catchment area treatment activity.

scholarly journals Spatial Estimation of Soil Erosion Using RUSLE Modeling: A case study of Dolakha District, Nepal

2020 ◽  
Author(s):  
Pawan Thapa
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Agricultural Land ◽  
Decision Makers ◽  
Management Planning ◽  
Erosion Risk ◽  
Spatial Estimation ◽  
The North ◽  
Soil Erosion Rate ◽  
Severe Erosion

Abstract Background: Soil erosion causes topsoil loss, which decreases fertility in agricultural land. Spatial estimation of soil erosion essential for an agriculture-dependent country like Nepal for developing its control plans. This study evaluated impacts on Dolakha using the Revised Universal Soil Loss Equation (RUSLE) model; analyses the effect of Land Use and Land Cover (LULC) on soil erosion.Results: The soil erosion rate categorized into six classes based on the erosion severity, and 5.01% of the areas found under extreme severe erosion risk (> 80 Mg ha-1yr-1) addressed by decision-makers for reducing its rate and consequences. Followed by 10 % classified between high and severe range from 10 to 80 Mg ha-1yr-1. While 15% and 70% of areas remained in a moderate and low-risk zone, respectively. Result suggests the area of the north-eastern part suffers from a high soil erosion risk due to steep slope.Conclusions: The result produces a spatial distribution of soil erosion over Dolakha, which applied for conservation and management planning processes, at the policy level, by land-use planners and decision-makers.

scholarly journals Spatial Estimation of Soil Erosion Using RUSLE Modeling: A case study of Dolakha District, Nepal

2020 ◽  
Author(s):  
Pawan Thapa
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Soil Loss ◽  
Agricultural Land ◽  
Management Planning ◽  
Erosion Risk ◽  
Spatial Estimation ◽  
Soil Erosion Rate ◽  
Severe Erosion ◽  
Planning Processes

Abstract Background: In the mountainous areas, soil erosion causes the topsoil loss which decreases fertility in the agricultural land. Spatial estimation of soil erosion essential for an agriculture-dependent country like Nepal for developing erosion control plans. This study was conducted for estimation of soil erosion impacts on Dolakha using the Revised Universal Soil Loss Equation (RUSLE) model, also analyzes the effect of Land Use and Land Cover (LULC) on soil erosion.Results: The soil erosion rate had been categorized into 6 erosion classes based on the erosion severity, and 5.01% of the areas was found to be under extreme severe erosion risk (> 80 Mg ha-1yr-1) that should be addressed by decision-maker for reducing its rate and consequences. Followed by 10 % areas were classified under high to severe with the rate of soil loss range from 10 to 80 Mg ha-1yr-1. While 15% and 70% of areas remained in moderate and low-risk zone respectively. The results suggest this district northeastern part suffers from a high soil erosion risk due to steep slope.Conclusions: The result produces a spatial distribution of soil erosion over Dolakha, which can be applied for conservation and management planning processes, at the policy level, by land-use planners and decision-makers.

scholarly journals Spatial Estimation of Soil Erosion Using RUSLE Modeling: A case study of Dolakha District

2020 ◽  
Author(s):  
Pawan Thapa
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Soil Loss ◽  
Agricultural Land ◽  
Management Planning ◽  
Erosion Risk ◽  
Spatial Estimation ◽  
Soil Erosion Rate ◽  
Severe Erosion ◽  
Planning Processes

Abstract Background: Soil erosion is one of the major causes of the topsoil loss, that decreases fertility in the agricultural land of a mountainous region. Spatial estimation of soil erosion is necessary for an agriculture-dependent country like Nepal for preparing erosion control plans. The purpose of this study was to estimate soil erosion of Dolakha using the Revised Universal Soil Loss Equation (RUSLE) model, which analyzes the effect of Land Use and Land Cover (LULC) and slope exposition on soil erosion.Results: The soil erosion rate had been categorized into 6 erosion classes based on the erosion severity, and 5.01% of the areas was found to be under extreme severe erosion risk (> 80 Mg ha-1yr-1) that need to address by decision-maker for reducing the risk of erosion. Followed by 10 % areas were classified under high to severe with rate of soil loss range from 10 to 80 Mg ha-1yr-1. While 15% and 70% areas were still remain in moderate and low risk zone respectively. The study demonstrated the northeastern part of district suffer high soil erosion risk due to steep slope and rugged landforms.Conclusions: The result produce spatial distribution of soil erosion over Dolakha, which can be applied for conservation and management planning processes, at the policy level, by land use planners and decision-makers.

scholarly journals Using a Citizen Science Approach with German Horse Owners to Study the Locomotion Behaviour of Horses on Pasture

2020 ◽  
Vol 12 (5) ◽  
pp. 1835
Author(s):  
Anja Schmitz ◽  
Bettina Tonn ◽  
Ann-Kathrin Schöppner ◽  
Johannes Isselstein
Keyword(s):  
Land Use ◽  
Citizen Science ◽  
Agricultural Land ◽  
Agricultural Research ◽  
Real Life ◽  
Sustainable Land Use ◽  
Walking Distance ◽  
Pasture Management ◽  
Science Approach ◽  
Simple Technology

Engaging farmers as citizen scientists may be a cost-efficient way to answering applied research questions aimed at more sustainable land use. We used a citizen science approach with German horse farmers with a dual goal. Firstly, we tested the practicability of this approach for answering ‘real-life’ questions in variable agricultural land-use systems. Secondly, we were interested in the knowledge it can provide about locomotion of horses on pasture and the management factors influencing this behaviour. Out of 165 volunteers, we selected 40 participants to record locomotion of two horses on pasture and provide information on their horse husbandry and pasture management. We obtained complete records for three recording days per horse from 28 participants, resulting in a dataset on more individual horses than any other Global Positioning System study published in the last 30 years. Time spent walking was greatest for horses kept in box-stall stables, and walking distance decreased with increasing grazing time. This suggests that restrictions in pasture access may increase stress on grass swards through running and trampling, severely challenging sustainable pasture management. Our study, involving simple technology, clear instructions and rigorous quality assessment, demonstrates the potential of citizen science actively involving land managers in agricultural research.

scholarly journals Topographic Position, Land Use and Soil Management Effects on Soil Organic Carbon (Vineyard Region of Niš, Serbia)

Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1438
Author(s):  
Snežana Jakšić ◽  
Jordana Ninkov ◽  
Stanko Milić ◽  
Jovica Vasin ◽  
Milorad Živanov ◽  
...  
Keyword(s):  
Land Use ◽  
Surface Layer ◽  
Spatial Distribution ◽  
Soil Erosion ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Soil Compaction ◽  
Soil Management ◽  
Forest Land ◽  
Topographic Position

Spatial distribution of soil organic carbon (SOC) is the result of a combination of various factors related to both the natural environment and anthropogenic activities. The aim of this study was to examine (i) the state of SOC in topsoil and subsoil of vineyards compared to the nearest forest, (ii) the influence of soil management on SOC, (iii) the variation in SOC content with topographic position, (iv) the intensity of soil erosion in order to estimate the leaching of SOC from upper to lower topographic positions, and (v) the significance of SOC for the reduction of soil’s susceptibility to compaction. The study area was the vineyard region of Niš, which represents a medium-sized vineyard region in Serbia. About 32% of the total land area is affected, to some degree, by soil erosion. However, according to the mean annual soil loss rate, the total area is classified as having tolerable erosion risk. Land use was shown to be an important factor that controls SOC content. The vineyards contained less SOC than forest land. The SOC content was affected by topographic position. The interactive effect of topographic position and land use on SOC was significant. The SOC of forest land was significantly higher at the upper position than at the middle and lower positions. Spatial distribution of organic carbon in vineyards was not influenced by altitude, but occurred as a consequence of different soil management practices. The deep tillage at 60–80 cm, along with application of organic amendments, showed the potential to preserve SOC in the subsoil and prevent carbon loss from the surface layer. Penetrometric resistance values indicated optimum soil compaction in the surface layer of the soil, while low permeability was observed in deeper layers. Increases in SOC content reduce soil compaction and thus the risk of erosion and landslides. Knowledge of soil carbon distribution as a function of topographic position, land use and soil management is important for sustainable production and climate change mitigation.

scholarly journals Spatial Distribution and Evaluation of Arsenic and Zinc Content in the Soil of a Karst Landscape

2021 ◽  
Vol 13 (12) ◽  
pp. 6976
Author(s):  
Dimitrios E. Alexakis ◽  
George D. Bathrellos ◽  
Hariklia D. Skilodimou ◽  
Dimitra E. Gamvroula
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Land Use Planning ◽  
Urban Soil ◽  
Agricultural Soil ◽  
Agricultural Land ◽  
Land Evaluation ◽  
Agricultural Activity ◽  
North West ◽  
Total Study Area

Karst features such as polje are highly vulnerable to natural and anthropogenic pollution. The main objectives of this study were to investigate the soil quality in the Ioannina polje (north-west Greece) concerning arsenic (As) and zinc (Zn), and delineate their origin as well as compare the As and Zn content in soil with criteria recorded in the literature. For this purpose, the geomorphological settings, the land use, and the soil physicochemical properties were mapped and evaluated, including soil texture and concentrations of aqua-regia extractable As and Zn. The concentration of elements was spatially correlated with the land use and the geology of the study area, while screening values were applied to assess land suitability. The results reveal that 72% of the total study area has a very gentle slope. This relief favors urban and agricultural activity. Thus, the urban and agricultural land used cover 92% of the total area. The spatial distribution for As and Zn in the soil of the study area is located on very gentle slopes and is strongly correlated with the geological parent materials and human-induced contamination sources. Arsenic and Zn can be considered enriched in the soil of the area studied. The median topsoil contents (in mg kg−1) for As (agricultural soil 16.0; urban soil 17.8) and Zn (agricultural soil 92.0; urban soil 95.0) are higher compared to the corresponding median values of European topsoils. Land evaluation suitability concerning criteria given from the literature is discussed. The proposed work may be helpful in the project of land use planning and the protection of the natural environment.

scholarly journals Impacts of Urbanization on Land Use Pattern and Environment: A Case Study of Ajmer City, Rajasthan

2019 ◽  
Vol 8 (1) ◽  
pp. 87-91
Author(s):  
Bhanu Priya Chouhan ◽  
Monika Kannan
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Land Degradation ◽  
Satellite Images ◽  
Agricultural Land ◽  
Population Pressure ◽  
Geographical Information ◽  
Land Use Patterns ◽  
Use Patterns ◽  
The Impact

The world is undergoing the largest wave of urban growth in history. More than half of the world’s population now lives in towns and cities, and by 2030 this number will swell to about 5 billion. ‘Urbanization has the potential to usher in a new era of wellbeing, resource efficiency and economic growth. But due to increased population the pressure of demand also increases in urban areas’ (Drakakis-Smith, David, 1996). The loss of agricultural land to other land uses occasioned by urban growth is an issue of growing concern worldwide, particularly in the developing countries like India. This paper is an attempt to assess the impact of urbanization on land use and land cover patterns in Ajmer city. Recent trends indicate that the rural urban migration and religious significance of the place attracting thousands of tourists every year, have immensely contributed in the increasing population of city and is causing change in land use patterns. This accelerating urban sprawl has led to shrinking of the agricultural land and land holdings. Due to increased rate of urbanization, the agricultural areas have been transformed into residential and industrial areas (Retnaraj D,1994). There are several key factors which cause increase in population here such as Smart City Projects, potential for employment, higher education, more comfortable and quality housing, better health facilities, high living standard etc. Population pressure not only directly increases the demand for food, but also indirectly reduces its supply through building development, environmental degradation and marginalization of food production (Aldington T, 1997). Also, there are several issues which are associated with continuous increase in population i.e. land degradation, pollution, poverty, slums, unaffordable housing etc. Pollution, formulation of slums, transportation congestion, environmental hazards, land degradation and crime are some of the major impacts of urbanization on Ajmer city. This study involves mapping of land use patterns by analyzing data and satellite imagery taken at different time periods. The satellite images of year 2000 and 2017 are used. The change detection techniques are used with the help of Geographical Information System software like ERDAS and ArcGIS. The supervised classification of all the three satellite images is done by ERDAS software to demarcate and analyze land use change.

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