Search results for " Primary productivity"

showing 6 items of 6 documents

Beyond APAR and NPQ: Factors Coupling and Decoupling SIF and GPP Across Scales

2021

The connection between solar-induced fluorescence (SIF) and vegetation gross primary productivity is being widely investigated across spatial, temporal, and biological scales, including: a) studies at the leaf [1], [2], plant canopy [2]–[4] or satellite pixel scale [5], [6], b) temporally with studies spanning from diurnal [7] to seasonal scales [1], [3], [5], and b) biologically with studies covering various plant functional types (PFTs), e.g., crops [4], [7], deciduous [8] or evergreen forests [1], [3], in response to different sources of stress.

010504 meteorology & atmospheric sciences0211 other engineering and technologies02 engineering and technologyVegetationDecoupling (cosmology)15. Life on landEvergreenAtmospheric sciences01 natural sciencesGross primary productivityDeciduousPlant canopy021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematics2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
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Carbon sequestration potential of Italian orchards and vineyards

2017

From 2004 to 2012 carbon (C) fluxes between the soil-vegetation system and the atmosphere in apple, grape, olive and orange orchards planted in different Italian regions were measured. Above-ground net primary productivity (ANPP) ranged from 4 (olive) to 9 (apple) Mg C ha-1. Alley grass contribution to total ANPP significantly varied among the systems, reaching a maximum of 60% in vineyards. The harvest index ranged from 46% for apple, to 58% for orange, 60% for grape and 41% for olive, while abscised leaves accounted for 30% of ANPP, on average. Soil respiration fluxes ranged from 6 (orange) to 10 (grape) Mg C ha-1. Results indicate the potential of these fruit crop to sequester atmospheri…

0106 biological sciences010504 meteorology & atmospheric sciencesAgroforestryApplePrimary productionOliveOrange (colour)Carbon sequestrationHorticultureNet ecosystem productivityPeach01 natural sciencesOrangeNet primary productivityAbscissionAgronomyApple; Net ecosystem productivity; Net primary productivity; Olive; Orange; Peach; HorticultureEnvironmental scienceApple; Net ecosystem productivity; Net primary productivity; Olive; Orange; Peach010606 plant biology & botany0105 earth and related environmental sciences
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Changes of energy fluxes in marine animal forests of the anthropocene: Factors shaping the future seascape

2019

12 pages, 3 figures

0106 biological sciences010504 meteorology & atmospheric sciencesEffects of global warming on oceansBenthic suspension feederClimate changeBenthic suspension feeders Benthic-pelagic coupling Climate change Energy fluxes Ocean warmingHeterotrophy Primary productivity Secondary productivity Seston availability Water stratificationAquatic ScienceOceanography01 natural sciencesOcean warmingSeston availabilityBenthic suspension feedersAnthropoceneHeterotrophyClimate change14. Life underwaterEcology Evolution Behavior and SystematicsPrimary productivity0105 earth and related environmental sciencesSeascapeEcology010604 marine biology & hydrobiologySecondary productivityWater stratificationBenthic-pelagic coupling15. Life on landEnergy fluxesEnergy fluxeOceanographyProductivity (ecology)13. Climate actionPrimary productivityEnvironmental science
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Diurnal and Seasonal Solar Induced Chlorophyll Fluorescence and Photosynthesis in a Boreal Scots Pine Canopy

2019

Solar induced chlorophyll fluorescence has been shown to be increasingly an useful proxy for the estimation of gross primary productivity (GPP), at a range of spatial scales. Here, we explore the seasonality in a continuous time series of canopy solar induced fluorescence (hereafter SiF) and its relation to canopy gross primary production (GPP), canopy light use efficiency (LUE), and direct estimates of leaf level photochemical efficiency in an evergreen canopy. SiF was calculated using infilling in two bands from the incoming and reflected radiance using a pair of Ocean Optics USB2000+ spectrometers operated in a dual field of view mode, sampling at a 30 min time step using custom written …

Canopy010504 meteorology & atmospheric sciencesRETRIEVAL0211 other engineering and technologiesEddy covarianceBoreal ecosystemlight-use efficiency (LUE)02 engineering and technologyAtmospheric sciencesPhotochemical Reflectance Index01 natural sciencesNormalized Difference Vegetation Indexseasonal dynamicsPHOTOSYSTEM-IIPHOTOCHEMICAL REFLECTANCE INDEXDiurnal cyclephotosynthetic efficiencySPECTROMETERFIELDWATER-STRESSlcsh:ScienceTEMPERATUREconiferous forest021101 geological & geomatics engineering0105 earth and related environmental sciencessolar-induced chlorophyll fluorescence (SiF); seasonal dynamics; photosynthetic efficiency; proximal remote sensing; coniferous forest; gross primary productivity (GPP); light-use efficiency (LUE); Fraunhofer Line Discriminator (FLD); flux tower4112 Forestrygross primary productivity (GPP)SUN-INDUCED FLUORESCENCEPrimary productionGROSS PRIMARY PRODUCTIONsolar-induced chlorophyll fluorescence (SiF)15. Life on landproximal remote sensing13. Climate actionLIGHT-USE EFFICIENCYRadianceGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:QFraunhofer Line Discriminator (FLD)flux towerRemote Sensing; Volume 11; Issue 3; Pages: 273
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Evaluating carbon fluxes in orange orchards in relation to planting density

2009

SUMMARYOrange (Citrus sinensis L.) is one of the main fruit crops worldwide and its evergreen orchards may have a great potential for carbon (C) sequestration, but no data are currently available. In order to understand carbon fluxes in orange orchards, an experiment was undertaken on traditional and intensive planting systems.The experiment used C. sinensis scions grafted onto Citrus aurantium (bitter orange) rootstock. One orchard contained 14-year-old trees of the cv. Tarocco Scirè (a blood orange) grown in a traditional system with 494 trees/ha. The second orchard contained 12-year-old trees of the cv. Newhall (a seedless navel orange) grown in an intensive system with 1000 trees/ha. Ne…

CanopySowingcarbon balance net primary productivity planting systems soil respirationOrange (colour)EvergreenBiologySoil respirationHorticultureBotanyGeneticsAnimal Science and ZoologyOrchardRootstockAgronomy and Crop ScienceCitrus × sinensis
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Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations

2019

Abstract Satellite remote sensing has been widely used in the last decades for agricultural applications, both for assessing vegetation condition and for subsequent yield prediction. Existing remote sensing-based methods to estimate gross primary productivity (GPP), which is an important variable to indicate crop photosynthetic function and stress, typically rely on empirical or semi-empirical approaches, which tend to over-simplify photosynthetic mechanisms. In this work, we take advantage of all parallel developments in mechanistic photosynthesis modeling and satellite data availability for an advanced monitoring of crop productivity. In particular, we combine process-based modeling with …

FOS: Computer and information sciencesLandsat 8Earth observation010504 meteorology & atmospheric sciencesComputer Vision and Pattern Recognition (cs.CV)0208 environmental biotechnologyComputer Science - Computer Vision and Pattern RecognitionSoil Science02 engineering and technologyGross primary productivity (GPP)Sentinel-2 (S2)Machine learningcomputer.software_genre01 natural sciencesRadiative transfer modeling (RTM)Atmospheric radiative transfer codesSoil-canopy-observation of photosynthesis and the energy balance (SCOPE)Computers in Earth SciencesC3 crops0105 earth and related environmental sciencesRemote sensing2. Zero hungerArtificial neural networkbusiness.industryEmpirical modellingNeural networks (NN)GeologyVegetationMachine learning (ML)15. Life on landHybrid approach22/4 OA procedure020801 environmental engineeringVariable (computer science)ITC-ISI-JOURNAL-ARTICLEEnvironmental scienceSatelliteArtificial intelligenceScale (map)businesscomputerRemote sensing of environment
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