Search results for " soil science"

showing 10 items of 41 documents

Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress

2019

Remote sensing of solar-induced chlorophyll fluorescence (SIF) is a rapidly advancing front in terrestrial vegetation science, with emerging capability in space-based methodologies and diverse application prospects. Although remote sensing of SIF – especially from space – is seen as a contemporary new specialty for terrestrial plants, it is founded upon a multi-decadal history of research, applications, and sensor developments in active and passive sensing of chlorophyll fluorescence. Current technical capabilities allow SIF to be measured across a range of biological, spatial, and temporal scales. As an optical signal, SIF may be assessed remotely using high-resolution spectral sensors in …

010504 meteorology & atmospheric sciencesFIS/06 - FISICA PER IL SISTEMA TERRA E PER IL MEZZO CIRCUMTERRESTRE0208 environmental biotechnologySoil ScienceReview02 engineering and technologyPhotochemical Reflectance Index01 natural sciencesArticleGEO/11 - GEOFISICA APPLICATASIF retrieval methodsRadiative transfer modellingRadiative transfer910 Geography & travelComputers in Earth SciencesChlorophyll fluorescence1111 Soil Science1907 GeologyAirborne instruments0105 earth and related environmental sciencesRemote sensingStress detectionGEO/12 - OCEANOGRAFIA E FISICA DELL'ATMOSFERA1903 Computers in Earth SciencesPrimary productionGeologyVegetationPassive optical techniquesField (geography)020801 environmental engineeringGEO/10 - GEOFISICA DELLA TERRA SOLIDA10122 Institute of GeographySun-induced fluorescenceRemote sensing (archaeology)Sun-induced fluorescence Steady-state photosynthesis Stress detection Radiative transfer modelling SIF retrieval methods. Satellite sensors Airborne instruments Applications Terrestrial vegetation Passive optical techniques. ReviewApplicationsTerrestrial vegetationEnvironmental scienceSatelliteSteady-state photosynthesisSatellite sensors
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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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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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A Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data

2018

This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. In particular, we present global maps at 500 m resolution of specific leaf area, leaf dry matter content, leaf nitrogen and phosphorus content per dry mass, and leaf nitrogen/phosphorus ratio. The processing chain exploits machine learning techniques along with optical remote sensing data (MODIS/Landsat) and climate data for gap filling and up-scaling of in-situ measured leaf traits. The chain first uses random forests regression with surrogates to fill gaps in the database (> 45% of missing entries) and maximizes the global representativeness of the trait dataset. Plant species are then a…

0106 biological sciencesFOS: Computer and information sciences010504 meteorology & atmospheric sciencesSpecific leaf areaClimateBos- en LandschapsecologieSoil ScienceFOS: Physical sciencesApplied Physics (physics.app-ph)010603 evolutionary biology01 natural sciencesStatistics - ApplicationsGoodness of fitAbundance (ecology)Machine learningForest and Landscape EcologyApplications (stat.AP)Computers in Earth SciencesPlant ecologyVegetatie0105 earth and related environmental sciencesRemote sensingMathematics2. Zero hungerPlant traitsVegetationData stream miningClimate; Landsat; Machine learning; MODIS; Plant ecology; Plant traits; Random forests; Remote sensing; Soil Science; Geology; Computers in Earth SciencesGlobal MapRegression analysisGeologyPhysics - Applied Physics15. Life on landRandom forestsRemote sensingPE&RCRandom forestMODISTraitVegetatie Bos- en LandschapsecologieVegetation Forest and Landscape EcologyLandsat
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Changes in soil mineral N content and abundances of bacterial communities involved in N reactions under laboratory conditions as predictors of soil N…

2016

Proper management of soil fertility requires specific tools for predicting N availability for crops as a consequence of different fertilization strategies. More information is required, especially for organic fertilizers, depending on their mineralization rate, composition, and processing (i.e., fresh or composted manure), as well as their effects on soil properties. Laboratory soil incubations were used as a proxy for understanding plant–soil N dynamics under field conditions. Chemical and microbiological measurements as contents of mineral N, potentially mineralizable N and the abundance of key genes regulating the overall N cycle were used as predictors of mineral N availability to maize…

0301 basic medicineDenitrification030106 microbiologySoil ScienceMicrobiologyCrop03 medical and health sciencesHuman fertilizationCurve fittingamoAnirKIncubationChemistryN mineralization04 agricultural and veterinary sciencesMineralization (soil science)ManureNifHAgronomy040103 agronomy & agriculture0401 agriculture forestry and fisheriesgrowth degree dayNitrificationamoA; Curve fitting; Growth degree days; N mineralization; nifH; nirK; Soil Science; Microbiology; Agronomy and Crop ScienceGrowth degree daysSoil fertilityAgronomy and Crop ScienceSettore AGR/16 - Microbiologia Agraria
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Prokaryotic assemblages within permafrost active layer at Edmonson Point (Northern Victoria Land, Antarctica)

2018

This study was aimed at gaining insights on the prokaryotic community (in terms of both taxonomic composition and activities) inhabiting the active layer at Edmonson Point, an ice-free area on the eastern slope at the foot of Mount Melbourne (Northern Victoria Land, Antarctica). Samples were collected during the thawing period, when microbial physiological activities are restored to utilize previously frozen organic substrates. Despite the very small cell sizes (600 daltons) substrates, as indicated also by the obtained rates of enzymatic hydrolytic activities over proteolytic, glycolitic and phosphoric compounds. Taxonomical composition showed that Proteobacteria, Actinobacteria and Firmic…

0301 basic medicinemetabolic activitiesFirmicutesta1172seasonally thawed active layerSoil ScienceikiroutaAntarctica; Metabolic activities; Prokaryotic community; Seasonally thawed active layer; Microbiology; Soil SciencePermafrostMicrobiologyActinobacteria03 medical and health sciencesAbundance (ecology)Organic mattermikrobitaineenvaihduntaNitrogen cycleAntarctica Metabolic activities Prokaryotic community Seasonally thawed active layer Microbiology Soil Sciencechemistry.chemical_classificationbiologyEcologyta1183prokaryotic communitybiology.organism_classificationmikrobisto030104 developmental biologychemistryHabitatEnvironmental scienceAntarcticaantarktinen alueProteobacteria
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Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

2022

10122 Institute of Geography1903 Computers in Earth SciencesSoil ScienceGeology910 Geography & travelComputers in Earth Sciences1111 Soil Science1907 Geology
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La infiltración en los suelos del País Valenciano : factores espacio-temporales

1993

:GEOGRAFÍA [UNESCO]Agriculture Soil ScienceUNESCO::GEOGRAFÍA
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Predicting soil and plant water status dynamic in olive orchards under different irrigation systems with Hydrus-2D: Model performance and scenario an…

2018

The paper analyzes the performance of Hydrus-2D model to simulate the dynamic of soil water contents and transpiration fluxes in an olive orchard in which two different irrigation systems were used in 2011 and 2012. The relationship between measured midday stem water potential, MSWP, and simulated relative transpiration (ratio between simulated actual and maximum crop transpiration), Ks, was also identified with the aim to use the model for crop water status predictions. Finally, a scenario analysis was carried out for irrigation management purposes, by considering the level of crop water stress achieved in the different phases of the vegetative growth. The results evidenced that active roo…

Actual evapotranspirationHydrusIrrigationVegetative reproductionWater stress0208 environmental biotechnologyMidday stem water potentialSoil Science02 engineering and technologyCropWater streIrrigation managementTranspirationWater Science and TechnologyEarth-Surface ProcessesActual evapotranspiration; Hydrus-2D; Midday stem water potential; Olive tree; Water stress; Agronomy and Crop Science; Water Science and Technology; Soil Science; Earth-Surface ProcessesHydrus-2D04 agricultural and veterinary sciences020801 environmental engineeringAgronomySoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceOrchardOlive treeAgronomy and Crop Science
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Uso del modelo LEACHM para la evaluación del riesgo de salinización en suelos bajo riego

2003

Agriculture Soil ScienceUNESCO::CIENCIAS DE LA VIDABiology Biostatistics:CIENCIAS DE LA VIDA [UNESCO]
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