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 −1 year −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 −1 year −1. While 15% and 70% of areas remained in a moderate and low-risk zone, respectively. Result suggests the area of the 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 applied for conservation and management planning processes, at the policy level, by land-use planners and decision-makers.
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.
Land Use and Climate change are interrelated to each other. This change influences one another at various temporal and spatial scales; however, improper land uses are the primary causal factor on climate change. It studies relevant literature and Nepal’s case to assess the relationship between land use and climate change. Similarly focuses on how land-use impacts climate change and vice versa. In recent centuries land-use change significant effects on ecological variables and climate change. Likewise, understanding the research on both topics will help decision-makers and conservation planners manage land and climate.
In few years, agriculture drones emerge for monitoring, planting, spraying, and mapping to increase crop production and reduce labor. This review results show its significance and farmer's demand for agriculture. The UAV technologies enable farmer management based on measuring and observation based on real-time crop and livestock monitoring, significantly maximize their production. The farm drone consists of user-friendly software with interactive maps, and a global positioning system will improve production. It will support farmer for farming in efficient, effective, and economical ways.
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