Search results for "Fish"

showing 10 items of 3164 documents

Cover Crop Impact on Soil Organic Carbon, Nitrogen Dynamics and Microbial Diversity in a Mediterranean Semiarid Vineyard

2020

Cover crop (CC) management in vineyards increases sustainability by improving soil chemical and biological fertility, but knowledge on its effects in semiarid soils is lacking. This study evaluated the effect of leguminous CC management on soil organic carbon (SOC) sequestration, soil nitrate content and microbial diversity in a semiarid vineyard, in comparison to conventional tillage (CT). SOC and nitrate were monitored during vine-growing season

Soil managementRibosomal Intergenic Spacer analysisGeography Planning and DevelopmentTJ807-830010501 environmental sciencesManagement Monitoring Policy and LawTD194-195NitrateSettore BIO/19 - Microbiologia Generalecomplex mixtures01 natural sciencesVineyardRenewable energy sourcesSoil respirationchemistry.chemical_compoundNitrateGE1-350Soil microbiotaCover crop0105 earth and related environmental sciencesLeguminous cover cropConventional tillageEnvironmental effects of industries and plantsSoil organic carbonRenewable Energy Sustainability and the Environmentfood and beverages04 agricultural and veterinary sciencesSoil carbonSettore AGR/02 - Agronomia E Coltivazioni ErbaceeEnvironmental scienceschemistryAgronomySoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSustainability
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Nitrogen losses in vineyards under different types of soil groundcover. A field runoff simulator approach in central Spain

2017

The soils of Mediterranean vineyards are usually managed with continuous tillage, resulting in bare soil, low infiltration and high soil erosion rates. Soil nutrients, such as nitrogen, could be lost dissolved in the runoff, causing a decrease in soil fertility on such degraded soils and producing eutrophication downstream. The influences of groundcover on the soil erosion processes and sediment yields in Mediterranean vineyards have been widely addressed. However, the runoff process itself, excluding the effect of raindrop impacts, has barely been studied. Thus, a field runoff simulator was built to assess runoff and nutrient losses under different soil management strategies in Central Spa…

Soil managementved/biology.organism_classification_rank.species010501 environmental sciencesVineyard01 natural sciencescomplex mixturesSoil managementRunoff simulationNutrient loNutrient lossSimulation0105 earth and related environmental sciencesGroundcoverConventional tillageEcologyved/biologyfungi04 agricultural and veterinary sciencesBodemfysica en LandbeheerSoil typeVineyardsGroundcoverTillageSoil Physics and Land ManagementInfiltration (hydrology)Agronomy040103 agronomy & agricultureRunoff simulation Nutrient loss Vineyards Soil management Groundcover0401 agriculture forestry and fisheriesEnvironmental scienceAnimal Science and ZoologySoil fertilitySurface runoffAgronomy and Crop ScienceAgriculture, Ecosystems and Environment
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The multidisciplinary origin of soil geography: A review

2018

Abstract Soil geography should be clearly recognized as a sub-discipline of physical geography and soil science, but at various times over the last century it was accepted as a complementary and descriptive sub-discipline of botany, agronomy and geology. In other words, there was not a clear consensus about its definition and origins. The main goal of this paper is to conduct a historical review (s. XX-XXI) of soil geography to clarify its origin, early methods, first authors and the importance of its interdisciplinary perspective within the scientific community. We found that soil geography was considerably advanced by the work of K.D. Glinka (1867–1927), one of Dokuchaev's students, who c…

Soil mapGeographyMultidisciplinary approach040103 agronomy & agricultureHistorical geography0401 agriculture forestry and fisheriesGeneral Earth and Planetary Sciences04 agricultural and veterinary sciencesPhysical geography010501 environmental sciencesSocial science01 natural sciences0105 earth and related environmental sciencesEarth-Science Reviews
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Historical Perspectives on Soil Mapping and Process Modeling for Sustainable Land Use Management

2017

Basic soil management goes back to the earliest days of agricultural practices, approximately 9000 BCE. Through time humans developed soil management techniques of ever increasing complexity, including plows, contour tillage, terracing, and irrigation. Spatial soil patterns were being recognized as early as 3000 BCE, but the first soil maps did not appear until the 1700s and the first soil models finally arrived in the 1880s. The beginning of the 20th century saw an increase in standardization in many soil science methods and wide-spread soil mapping in many parts of the world, particularly in developed countries. However, the classification systems used, mapping scale, and national coverag…

Soil mapHydrology010504 meteorology & atmospheric sciencesLand usebusiness.industryEnvironmental resource managementSoil classification04 agricultural and veterinary sciences01 natural sciencesSoil qualitySoil managementSoil surveyAgricultural soil scienceSoil functions040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental sciencebusiness0105 earth and related environmental sciences
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Goal Oriented Soil Mapping

2017

Abstract Soil mapping is very important for the correct implementation of sustainable land use management. In recent decades, soil mapping methods and data availability have increased exponentially, improving the quality of the maps produced. Despite these advances, local knowledge is a great source of information, refined for centuries and useful for soil mapping and the implementation of a sustainable land management. Local wisdom and experience should be an important aspect of soil mapping because farmers will be one of the major end-users of the maps produced and they should account for the farmers’ reality. However, several problems have been identified in the spatial correlation betwe…

Soil mapSustainable land managementGoal orientationLand useManagement sciencebusiness.industrymedia_common.quotation_subjectEnvironmental resource managementFolk classificationSoil classification04 agricultural and veterinary sciencesBiological classification010501 environmental sciences01 natural sciencesGeneralLiterature_MISCELLANEOUSGeography040103 agronomy & agriculture0401 agriculture forestry and fisheriesQuality (business)business0105 earth and related environmental sciencesmedia_common
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Assessment of soil suitability for improvement of soil factors and agricultural management

2019

The dramatic growth of the world&rsquo

Soil salinityGeography Planning and DevelopmentPopulationlcsh:TJ807-830lcsh:Renewable energy sources010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciencessoil reclamationMicroLEIS DSSSoil retrogression and degradationSustainable agricultureLand-use planningeducationlcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350education.field_of_studyLand useRenewable Energy Sustainability and the Environmentlcsh:Environmental effects of industries and plantsSustainable agricultureSodic soil04 agricultural and veterinary sciencessustainable agriculturelcsh:TD194-195Agriculture and Soil ScienceSoil water040103 agronomy & agricultureLand degradation0401 agriculture forestry and fisheriesEnvironmental scienceWater resource managementSoil reclamationland-use planning
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Vineyard Compost Supplemented with Trichoderma Harzianum T78 Improve Saline Soil Quality

2016

Soil salinitybiologyCompostBiofertilizerSoil ScienceTrichoderma harzianum04 agricultural and veterinary sciences010501 environmental sciencesDevelopmentengineering.materialbiology.organism_classification01 natural sciencesSoil qualityVineyardSalinityAgronomy040103 agronomy & agricultureengineering0401 agriculture forestry and fisheriesEnvironmental ChemistryEnvironmental science0105 earth and related environmental sciencesGeneral Environmental ScienceLand Degradation & Development
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Laboratory testing of Beerkan infiltration experiments for assessing the role of soil sealing on water infiltration

2018

Abstract Soil surface sealing is a major cause of decreased infiltration rates and increased surface runoff and erosion during a rainstorm. The objective of this paper is to quantify the effect of surface sealing on infiltration for 3 layered soils with different textures for the upper layer and investigate the capability of BEST procedure to catch the formation of the seal and related consequences on water infiltration. Rainfall experiments were carried out to induce the formation of the seal. Meanwhile, Beerkan infiltration runs were carried out pouring water at different distances from the soil surface (BEST-H versus BEST-L runs, with a High and Low water pouring heights, respectively) f…

Soil sealing0208 environmental biotechnologySoil science02 engineering and technologyConductivityHydraulic conductivityComputingMilieux_MISCELLANEOUSEarth-Surface ProcessesBeerkan infiltration experiment04 agricultural and veterinary sciencesBodemfysica en LandbeheerPE&RCSoil sealingBulk densityBEST algorithm6. Clean water020801 environmental engineeringSoil Physics and Land ManagementSaturated soil hydraulic conductivityInfiltration (hydrology)Soil water[SDE]Environmental SciencesRainfall simulation040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSoil horizon[SDE.BE]Environmental Sciences/Biodiversity and EcologySurface runoffBEST algorithms
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Assessing Field and Laboratory Calibration Protocols for the Diviner 2000 Probe in a Range of Soils with Different Textures

2016

Frequency domain reflectometry (FDR) downhole sensors have been increasingly used for soil moisture field monitoring because they allow measurement, even continuously, along a soil profile. Moreover, they can also be installed with minimal soil disturbance around the access tube. The objectives of the paper were to assess the field and laboratory calibration protocols for a FDR capacitance probe (Diviner 2000) for a range of soils characterized by different particle size distributions and shrink/swell potential and to propose a practical and effective protocol on the basis of undisturbed soil samples, accounting for soil shrinkage/swelling processes characterizing swelling clay soils. The e…

Soil test0208 environmental biotechnologyShrinking/swellings soilCalibration protocolsSoil science02 engineering and technologySoil water contentCapacitance probeFrequency domain reflectometry (FDR); Capacitance probe; Soil water content; Dielectric permittivity; Shrinking/ swellings soils; Calibration protocols.Dielectric permittivityShrinking/ swellings soilsCalibrationReflectometryFrequency domain reflectometry (FDR)Water contentWater Science and TechnologyCivil and Structural EngineeringCalibration protocol04 agricultural and veterinary sciencesAgricultural and Biological Sciences (miscellaneous)Swell020801 environmental engineeringSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSoil horizonCapacitance probeJournal of Irrigation and Drainage Engineering
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Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database

2012

International audience; Large soil spectral libraries compiling thousands of NIR (Near Infrared) reflectance spectra have been created encompassing a wide diversity and heterogeneity of spectra. Among the many chemometric approaches to the calibration of chemical and physical properties from these large libraries, local calibrations have the advantage of being able to select the most similar spectra to the spectrum of a target sample. This is particularly relevant when dealing with highly heterogeneous media such as soils, where the mineral matrix has a strong influence on spectral features. A crucial step in the implementation of local calibration procedures is the construction of local ne…

Soil testCorrelation coefficientnear infrared spectroscopy[SDV]Life Sciences [q-bio]Fast Fourier transformfast fourier transformsample selection010501 environmental sciences01 natural sciencesAnalytical ChemistryStatisticsPartial least squares regressionsoil spectral databaseSpectroscopySelection (genetic algorithm)0105 earth and related environmental sciencesMathematicscompression methodsMahalanobis distancelocal calibrationbusiness.industryProcess Chemistry and TechnologyLocal regressionPattern recognition04 agricultural and veterinary sciences15. Life on landComputer Science Applications[SDE]Environmental SciencesPrincipal component analysis040103 agronomy & agriculture0401 agriculture forestry and fisheriesArtificial intelligencebusinessSoftwareChemometrics and Intelligent Laboratory Systems
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