Search results for "Agriculture"

showing 10 items of 3315 documents

Testing simple scaling in soil erosion processes at plot scale

2018

Abstract Explaining scale effects for runoff and erosion improves our understanding and simulation ability of hydrological and erosion processes. In this paper, plot scale effects on event runoff per unit area (Qe), sediment concentration (Ce) and soil loss per unit area (SLe) were checked at El Teularet-Sierra de Enguera experimental site in Eastern Spain. The measurements were carried out for 31 events occurring in the years 2005 and 2007 in bare ploughed plots ranging from 1 to 48 m2. The analysis established the scaling relationship by dimensional analysis and self-similarity theory, and tested this relationship at different temporal scales ranging from event to annual scale. The dimens…

010504 meteorology & atmospheric sciencesScale (ratio)Runoff0208 environmental biotechnologySoil scienceNatural rainfall02 engineering and technology01 natural sciencesHydrology (agriculture)Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliTemporal scalesScaling0105 earth and related environmental sciencesEarth-Surface ProcessesPlotsSedimentPE&RC020801 environmental engineeringScalePlotSediment concentrationSpatial ecologyErosionSoil erosionEnvironmental scienceSurface runoff
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Applying the USLE Family of Models at the Sparacia (South Italy) Experimental Site

2016

Soil erosion is a key process to understand the land degradation, and modelling of soil erosion will help to understand the process and to foresee its impacts. The applicability of the Universal Soil Loss Equation (USLE) at event scale is affected by the fact that USLE rainfall erosivity factor does not take into account runoff explicitly. USLE-M and USLE-MM, including the effect of runoff in the event rainfall– runoff erosivity factor, are characterized by a better capacity to predict event soil loss. The specific objectives of this paper were (i) to determine the suitable parameterization of USLE, USLE-M and USLE-MM by using the dataseries of Sparacia experimental site and (ii) to evaluat…

010504 meteorology & atmospheric sciencesScale (ratio)Soil ScienceSoil scienceDevelopment01 natural sciencesDeposition (geology)Soil lossplot soil loUSLE-MMSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEnvironmental Chemistry0105 earth and related environmental sciencesGeneral Environmental ScienceEvent (probability theory)Hydrologysoil erosionSediment04 agricultural and veterinary sciencesUniversal Soil Loss Equation040103 agronomy & agricultureLand degradationUSLE-M0401 agriculture forestry and fisheriesEnvironmental scienceSurface runoffEvent scaleLand Degradation & Development
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Transboundary Basins Need More Attention: Anthropogenic Impacts on Land Cover Changes in Aras River Basin, Monitoring and Prediction.

2020

Changes in land cover (LC) can alter the basin hydrology by affecting the evaporation, infiltration, and surface and subsurface flow processes, and ultimately affect river water quantity and quality. This study aimed to monitor and predict the LC composition of a major, transboundary basin contributing to the Caspian Sea, the Aras River Basin (ARB). To this end, four LC maps of ARB corresponding to the years 1984, 2000, 2010, and 2017 were generated using Landsat satellite imagery from Armenia and the Nakhchivan Autonomous Republic. The LC gains and losses, net changes, exchanges, and the spatial trend of changes over 33 years (1984–2017) were investigated. The most important drivers of the…

010504 meteorology & atmospheric sciencesScienceDrainage basinland change modelerLand cover010501 environmental sciencesStructural basin01 natural sciencesremote sensingHydrology (agriculture)Satellite imagerySubsurface flow0105 earth and related environmental sciences2. Zero hungergeographygeography.geographical_feature_categorybusiness.industryQ15. Life on land6. Clean wateranthropogenic impactsWater resourcesAras River Basin13. Climate actionAgriculturetransboundary basinGeneral Earth and Planetary SciencesEnvironmental scienceWater resource managementbusinessRemote sensing
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An assessment of the global impact of 21st century land use change on soil erosion

2017

Human activity and related land use change are the primary cause of accelerated soil erosion, which has substantial implications for nutrient and carbon cycling, land productivity and in turn, worldwide socio-economic conditions. Here we present an unprecedentedly high resolution (250 × 250 m) global potential soil erosion model, using a combination of remote sensing, GIS modelling and census data. We challenge the previous annual soil erosion reference values as our estimate, of 35.9 Pg yr−1 of soil eroded in 2012, is at least two times lower. Moreover, we estimate the spatial and temporal effects of land use change between 2001 and 2012 and the potential offset of the global application o…

010504 meteorology & atmospheric sciencesScienceGeneral Physics and AstronomyHigh resolution010501 environmental sciences01 natural sciencesArticleGeneral Biochemistry Genetics and Molecular BiologyAnthropogenic effect census conservation management environmental impact assessment GIS global perspective human activity land use change remote sensing soil conservation soil erosionSoutheast asiaCarbon cycleNutrientSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliLand use land-use change and forestrylcsh:Scienceskin and connective tissue diseases0105 earth and related environmental sciencesLand productivityMultidisciplinaryQGeneral ChemistryAgriculture and Soil ScienceReference valuesEnvironmental sciencelcsh:QPhysical geographysense organs
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Predicting plot soil loss by empirical and process-oriented approaches. A review

2018

Soil erosion directly affects the quality of the soil, its agricultural productivity and its biological diversity. Many mathematical models have been developed to estimate plot soil erosion at different temporal scales. At present, empirical soil loss equations and process-oriented models are considered as constituting a complementary suite of models to be chosen to meet the specific user need. In this paper, the Universal Soil Loss Equation and its revised versions are first reviewed. Selected methodologies developed to estimate the factors of the model with the aim to improve the soil loss estimate are described. Then the Water Erosion Prediction Project which represents a process-oriente…

010504 meteorology & atmospheric sciencesSoil erosion; Soil loss measurements; Universal soil loss equation; Water erosion prediction project; Bioengineering; Mechanical Engineering; Industrial and Manufacturing EngineeringBioengineeringSoil science01 natural sciencesIndustrial and Manufacturing EngineeringPlot (graphics)lcsh:Agriculturewater erosion prediction project.Soil loss measurementSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalilcsh:Agriculture (General)Temporal scalesReliability (statistics)0105 earth and related environmental sciencesgeographysoil loss measurementsgeography.geographical_feature_categoryPhysical modelMathematical modelMechanical EngineeringWater erosion prediction projectlcsh:S04 agricultural and veterinary sciencesUniversal Soil Loss Equationlcsh:S1-972RillUniversal Soil Loss EquationSoil erosion040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSpatial variability
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Short-Term Vegetation Recovery after a Grassland Fire in Lithuania: The Effects of Fire Severity, Slope Position and Aspect

2016

In Lithuania, fire is frequently used by farmers as a tool to remove dry grass, improve soil nutrient status and help soil tilling. However, little is known about the ecological impacts of these fires, including vegetation recovery. The objective of this work is to study the impacts of a spring grassland fire on vegetation recuperation on an east-facing (A) and a west-facing slope (B), considering fire severity and slope position, 10, 17, 31 and 46 days after the fire. Because of their effects on fire behaviour, aspect, steepness and heterogeneity of topography favoured higher fire severity on slope B than on slope A. Three different slope positions were identified on slope A – flat top, mi…

010504 meteorology & atmospheric sciencesSoil nutrientsSlope positionSoil ScienceSlope aspectDevelopmentspring fire01 natural sciencesGrasslandvegetation recoverySlope positionEnvironmental ChemistryDevelopment3304 EducationVegetation and slope stability0105 earth and related environmental sciencesGeneral Environmental ScienceSpring firesHydrologygeographygeography.geographical_feature_category2300slope aspect04 agricultural and veterinary sciencesVegetationBodemfysica en LandbeheerPE&RCslope positionSoil Physics and Land Managementfire severityFire severity040103 agronomy & agricultureLand degradation0401 agriculture forestry and fisheriesEnvironmental sciencePlant coverVegetation recovery
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Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach

2018

Recent modeling and comparison with field results showed that soil formation by chemical weathering, either from bedrock or unconsolidated material, is limited largely by solute transport. Chemical weathering rates are proportional to solute velocities. Nonreactive solute transport described by non-Gaussian transport theory appears compatible with soil formation rates. This change in understanding opens new possibilities for predicting soil production and depth across orders of magnitude of time scales. Percolation theory for modeling the evolution of soil depth and production was applied to new and published data for alpine and Mediterranean soils. The first goal was to check whether the e…

010504 meteorology & atmospheric sciencesSoil production functionSoil texturesoil depthSoil modeling percolation theory chemical weathering soil depth alpine mediterraneanmediterraneanWeatheringSoil science01 natural sciencespercolation theorychemical weathering2300 General Environmental Science910 Geography & travellcsh:Environmental sciences0105 earth and related environmental sciencesGeneral Environmental Sciencelcsh:GE1-350geographygeography.geographical_feature_categorysoil modelingBedrockalpineTree throw04 agricultural and veterinary sciences10122 Institute of GeographySettore AGR/14 - PedologiaSoil water040103 agronomy & agricultureErosion0401 agriculture forestry and fisheriesEnvironmental scienceBioturbation
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Testing the use of an image-based technique to measure gully erosion at Sparacia experimental area

2016

The first part of this investigation was aimed at testing the use of a three-dimensional (3D) Digital Terrain Model (DTM) and a quasi-tridimensional (2.5D) Digital Elevation Model (DEM) obtained by a large series of oblique images of eroded channels taken from consumer un-calibrated and non-metric cameras. For two closed earth channels having a different sinuosity the ground measurement of some cross-sections by a profilometer (P) was carried out. The real volume of each channel was also measured by waterproofing it by a plastic film and filling it with a known volume of water. The comparison among the three methods (3D, 2.5D and P) pointed out that a limited underestimation of the total vo…

010504 meteorology & atmospheric sciencesSoil scienceChannelized04 agricultural and veterinary sciencesSinuosity01 natural sciencesVolume (thermodynamics)040103 agronomy & agricultureErosion0401 agriculture forestry and fisheriesProfilometerEmpirical relationshipDigital elevation modelGeology0105 earth and related environmental sciencesWater Science and TechnologyRemote sensingCommunication channelHydrological Processes
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Using present and past climosequences to estimate soil organic carbon and related physical quality indicators under future climatic conditions

2018

Abstract This research aimed at testing the use of present and past climosequences to estimate soil organic carbon (SOC) and related physical quality indicators under future climatic conditions. The influence of climate on soil features was studied for four combinations of typical Mediterranean soil types and cropping systems, placed along climosequences of the past (P1: 1961–1990), present (P2: 1981–2010) and future (P3: 2021–2050). The four test areas were located in Italy, each one characterized by the same soil typology and cropping system, placed on similar morphological position and parent material, wide enough to cross climatic boundaries. Legacy soil profiles that were sampled in th…

010504 meteorology & atmospheric sciencesSoil scienceSoil typeMediterranean01 natural sciencesClimate changeSoil quality indicator0105 earth and related environmental sciencesEcologySoil physicsSoil organic matterSoil chemistrySoil classification04 agricultural and veterinary sciencesSoil carbonSoil typeSoil qualitySettore AGR/14 - Pedologia040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSoil physicAnimal Science and ZoologySoil fertilityAgronomy and Crop ScienceCropping systemAgriculture, Ecosystems & Environment
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Assessing and Modeling Soil Detachment Capacity by Overland Flow in Forest and Woodland of Northern Iran

2020

Land use has significant effects on the erosion process, since it influences the soil detachment capacity by causing an overland flow (Dc). The effects of different land uses on the rill detachment capacity have not been explained in depth, and the hydraulic parameters providing accurate estimates of this soil property have not been completely identified. This study quantifies Dc at low flow rates in woodland and forestland, compared to two other land uses (cropland and grassland), in the Saravan watershed (Northern Iran), and develops prediction models of Dc and rill erodibility (Kr). Dc was measured on undisturbed soil samples, collected in the four land uses, and characterized in terms o…

010504 meteorology & atmospheric sciencesSoil testWater flowWoodlandvegetation cover01 natural sciencesshear stressshallow flowsoil organic matterrill erodibility0105 earth and related environmental sciencesHydrologygeographygeography.geographical_feature_categorysoil erosionSoil organic matterland useForestry04 agricultural and veterinary scienceslcsh:QK900-989RillSoil water040103 agronomy & agricultureErosionlcsh:Plant ecology0401 agriculture forestry and fisheriesEnvironmental scienceSurface runoffForests
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