Search results for " Veterinary"

showing 10 items of 2637 documents

Tillage Impacts on Initial Soil Erosion in Wheat and Sainfoin Fields under Simulated Extreme Rainfall Treatments

2021

The main aim of this research was to determine the potential effects of different tillage systems (TT: traditional tillage and RT: reduced tillage) on runoff and erosion at two different locations (Kahramanmaras and Tarsus, Southern Turkey) under (i) fallow, (ii) wheat (Triticumaestivum L.), and (iii) sainfoin (Onobrychissativa L.) crops. Rainfall simulations with intensity of 120 mm h&minus

010504 meteorology & atmospheric sciencesGeography Planning and Developmentlcsh:TJ807-830lcsh:Renewable energy sourcesrunoffManagement Monitoring Policy and Law01 natural sciencesRunoff volumelcsh:Environmental sciences0105 earth and related environmental sciencesSediment yieldlcsh:GE1-350soil erosionextreme rainfall eventsRenewable Energy Sustainability and the Environmentlcsh:Environmental effects of industries and plants04 agricultural and veterinary sciencesrainfall simulationreduced tillageSoil tillageSediment concentrationRunoff coefficientTillagelcsh:TD194-195Agronomy040103 agronomy & agricultureErosion0401 agriculture forestry and fisheriesEnvironmental scienceSurface runoffSustainability
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Humusica 2, article 19: Techno humus systems and global change - Conservation agriculture and 4/1000 proposal

2018

International audience; Philosophy can overlap pedology. It is not casual that life begins and finishes in the soil. We separated the concepts of Humipedon, Copedon and Lithopedon. Some sections were dedicated to the founders of the movement for a new type of agriculture (agroecology). They simply proclaim to accompany the process of natural evolution instead of spending a lot of energy in hunting competitor organisms with pesticides or boosting the soil with mineral fertilisation and tillage. The core of the article is built on a biological concept of the soil and shows researches supporting this view. After pointing to the soil structure and illustrating its natural genesis, explaining wh…

010504 meteorology & atmospheric sciencesMarcel Bouché01 natural sciencesAgricultural economicsMatt DamonSoilEnvironmental protectionGreenhouse effect2. Zero hungerOrganic AgricultureAllan SavoryEcologyAgriculture04 agricultural and veterinary sciencesAgricultural and Biological Sciences (miscellaneous)HumusAgriculture; Allan Savory; Andy Weir; Charles Darwin; Conservation agriculture; Earthworms; Homo sapiens; Humus; Humusica; Jeff Lowenfels; Marcel Bouché; Masanobu Fukuoka; Matt Damon; Natural farming; Organic Agriculture; Peat; Soil; Soil aggregates; Soil C sequestration; Soil Organic Carbon; Ecology; Agricultural and Biological Sciences (miscellaneous); Soil ScienceTillageHumusicaSoil aggregatesConservation agricultureAndy Weir[ SDV.SA.SDS ] Life Sciences [q-bio]/Agricultural sciences/Soil studySoil Science[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil studyHumus[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsMarcel BouchéMasanobu FukuokaEarthwormsAgroecology0105 earth and related environmental sciences[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyHomo sapiensJeff LowenfelsNatural farmingSoil organic matterSoil C sequestrationGlobal warmingPeatSoil carbon15. Life on land[ SDV.EE.ECO ] Life Sciences [q-bio]/Ecology environment/EcosystemsSoil structureCharles DarwinSoil Organic Carbon13. Climate action040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental science[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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Laboratory evaluation of falling-head infiltration for saturated soil hydraulic conductivity determination

2020

Falling-head one-dimensional infiltration procedures, such as the simplified falling-head (SFH) technique, yield estimates of saturated soil hydraulic conductivity, Ks, with parsimonious and rapid experiments. Factors that can influence determination of Ks by the SFH technique were tested in the laboratory on three repacked soils differing by particle diameter ranges (0-2000, 0- 105 and 105-2000 mm, respectively). Using the theoretically calculated depth of ponding on the infiltration surface, D, instead of the measured one had a small impact on the Ks calculations (means differing by a factor of 1.1-1.2, depending on the soil). For the finest soil, Ks decreased by 3.1 times as D increased …

010504 meteorology & atmospheric sciencesMechanical Engineeringlcsh:SBioengineering04 agricultural and veterinary scienceslcsh:S1-97201 natural sciencesIndustrial and Manufacturing Engineeringlcsh:AgricultureInfiltration (hydrology)Saturated soil hydraulic conductivityHydraulic conductivityLaboratory investigationFalling-head one-dimensional infiltrationSimplified falling-head techniquesimplified falling-head technique.040103 agronomy & agricultureSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali0401 agriculture forestry and fisheriesEnvironmental scienceGeotechnical engineeringlcsh:Agriculture (General)0105 earth and related environmental sciences
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Effects of climate change and land use intensification on regional biological soil crust cover and composition in southern Africa

2022

Biological soil crusts (biocrusts) form a regular and relevant feature in drylands, as they stabilize the soil, fix nutrients, and influence water cycling. However, biocrust forming organisms have been shown to be dramatically vulnerable to climate and land use change occurring in these regions. In this study, we used Normalized Difference Vegetation Index (NDVI) data of biocrust-dominated pixels (NDVIbiocrust) obtained from hyperspectral and LANDSAT-7 data to analyse biocrust development over time and to forecast future NDVIbiocrust development under different climate change and livestock density scenarios in southern Africa. We validated these results by analysing the occurrence and compo…

010504 meteorology & atmospheric sciencesNDVISoil ScienceLibrary science01 natural sciencesGermanRegional developmentEffects of global warmingPolitical science11. SustainabilityNobel laureateBiocrustmedia_common.cataloged_instanceSpatial distributionEuropean union0105 earth and related environmental sciencesmedia_common2. Zero hungerLand useEuropean researchLivestock density04 agricultural and veterinary sciences15. Life on landRemote sensingEcologíaSpace-for-time studylanguage.human_languageEarth system modelDrylands soils13. Climate action040103 agronomy & agriculturelanguage0401 agriculture forestry and fisheriesChristian ministryMulti-temporal Landsat imageryGeoderma
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Modelling nitrous oxide emissions from cropland at the regional scale

2006

Arable soils are a large source of nitrous oxide (N2O) emissions, making up half of the biogenic emissions worldwide. Estimating their source strength requires methods capable of capturing the spatial and temporal variability of N2O emissions, along with the effects of crop management. Here, we applied a process-based model, CERES, with geo-referenced input data on soils, weather, and land use to map N2O emissions from wheat-cropped soils in three agriculturally intensive regions in France. Emissions were mostly controlled by soil type and local climate conditions, and only to a minor extent by the doses of fertilizer nitrogen applied. As a result, the direct emission factors calculated at …

010504 meteorology & atmospheric sciencesNITROUS OXIDElcsh:TP670-699Atmospheric sciences01 natural sciencesBiochemistryREGIONAL SCALE[SDV.IDA]Life Sciences [q-bio]/Food engineeringAGRONOMIENitrogen cycleComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences2. Zero hungerLand useIntensive farmingARABLE CROPSMODELLING04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering15. Life on landSoil type13. Climate actionGreenhouse gasSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSpatial variabilitylcsh:Oils fats and waxesArable landFood Science
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The Synergistic Impacts of Anthropogenic Stressors and COVID-19 on Aquaculture: A Current Global Perspective

2021

13 pages, 6 figures, 2 tables.-- This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License

010504 meteorology & atmospheric sciencesNatural resource economicsSocio-ecological systemsvulnerabilityVulnerabilitySARS (Disease)01 natural sciencesFood security -- Case studiesStakeholder perceptionsCOVID-19 (Disease)Aquaculturefood insecurityStakeholderPerceptionsClimate changeZoologíastakeholders perceptions2. Zero hunger04 agricultural and veterinary sciencesSARS-COV2-pandemicmultiple stressorsFood insecurityclimate change2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)VulnerabilityClimate changesocio-ecological systemManagement Monitoring Policy and LawAquatic Science14. Life underwaterSARS-CoV-2 pandemic ; supply chain ; food insecurity ; climate change ; multiple stressors ; vulnerability ; stakeholder perceptions ; socioecological systemsMultiple stressorssupply chainEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesFood insecuritybusiness.industryPerspective (graphical)Stressorclimate change food insecurity multiple stressors SARS-CoV-2 pandemic socio-ecological systems stakeholder perceptions supply chain vulnerabilitySocioecological systemsVulnerability model of recoveryClimatic changesSupply chain13. Climate action040102 fisheriesBusiness logistics -- Case studies0401 agriculture forestry and fisheriesEnvironmental scienceSARS-CoV-2 pandemicbusiness
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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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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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