Search results for "VEGETATION"

showing 10 items of 1069 documents

A unified vegetation index for quantifying the terrestrial biosphere

2021

[EN] Empirical vegetation indices derived from spectral reflectance data are widely used in remote sensing of the biosphere, as they represent robust proxies for canopy structure, leaf pigment content, and, subsequently, plant photosynthetic potential. Here, we generalize the broad family of commonly used vegetation indices by exploiting all higher-order relations between the spectral channels involved. This results in a higher sensitivity to vegetation biophysical and physiological parameters. The presented nonlinear generalization of the celebrated normalized difference vegetation index (NDVI) consistently improves accuracy in monitoring key parameters, such as leaf area index, gross prim…

0106 biological sciencesCanopyEarth observation010504 meteorology & atmospheric sciencesEnvironmental StudiesComputerApplications_COMPUTERSINOTHERSYSTEMSAtmospheric sciences01 natural sciencesNormalized Difference Vegetation IndexGeneralLiterature_MISCELLANEOUSPhysics::GeophysicsComputerApplications_MISCELLANEOUSmedicineLeaf area indexResearch Articles0105 earth and related environmental sciencesComputingMethodologies_COMPUTERGRAPHICSMultidisciplinaryGlobal warmingBiosphereSciAdv r-articles15. Life on land13. Climate actionComputer ScienceEnvironmental scienceSatellitemedicine.symptomVegetation (pathology)010606 plant biology & botanyResearch Article
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Data synergy between leaf area index and clumping index Earth Observation products using photon recollision probability theory

2018

International audience; Clumping index (CI) is a measure of foliage aggregation relative to a random distribution of leaves in space. The CI can help with estimating fractions of sunlit and shaded leaves for a given leaf area index (LAI) value. Both the CI and LAI can be obtained from global Earth Observation data from sensors such as the Moderate Resolution Imaging Spectrometer (MODIS). Here, the synergy between a MODIS-based CI and a MODIS LAI product is examined using the theory of spectral invariants, also referred to as photon recollision probability ('p-theory'), along with raw LAI-2000/2200 Plant Canopy Analyzer data from 75 sites distributed across a range of plant functional types.…

0106 biological sciencesCanopyEarth observationPhoton010504 meteorology & atmospheric sciencesF40 - Écologie végétalehttp://aims.fao.org/aos/agrovoc/c_1920Soil Science01 natural sciencesMeasure (mathematics)http://aims.fao.org/aos/agrovoc/c_7701Multi-angle remote sensingProbability theoryhttp://aims.fao.org/aos/agrovoc/c_718Foliage clumping indexRange (statistics)http://aims.fao.org/aos/agrovoc/c_3081[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyComputers in Earth SciencesLeaf area indexhttp://aims.fao.org/aos/agrovoc/c_4039http://aims.fao.org/aos/agrovoc/c_4116Photon recollision probabilityhttp://aims.fao.org/aos/agrovoc/c_10672http://aims.fao.org/aos/agrovoc/c_32450105 earth and related environmental sciencesMathematicsRemote sensinghttp://aims.fao.org/aos/agrovoc/c_8114GeologyVegetationhttp://aims.fao.org/aos/agrovoc/c_5234http://aims.fao.org/aos/agrovoc/c_7558Leaf area indexhttp://aims.fao.org/aos/agrovoc/c_7273http://aims.fao.org/aos/agrovoc/c_1236http://aims.fao.org/aos/agrovoc/c_1556U30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_4026010606 plant biology & botanyhttp://aims.fao.org/aos/agrovoc/c_6124
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Evaluating structural and compositional canopy characteristics to predict the light-demand signature of the forest understorey in mixed, semi-natural…

2020

Questions: Light availability at the forest floor affects many forest ecosystem processes, and is often quantified indirectly through easy-to-measure stand characteristics. We investigated how three such characteristics, basal area, canopy cover and canopy closure, were related to each other in structurally complex mixed forests. We also asked how well they can predict the light-demand signature of the forest understorey (estimated as the mean Ellenberg indicator value for light [“EIVLIGHT”] and the proportion of “forest specialists” [“%FS”] within the plots). Furthermore, we asked whether accounting for the shade-casting ability of individual canopy species could improve predictions of EIV…

0106 biological sciencesCanopy[SDV]Life Sciences [q-bio]DIVERSITYAtmospheric sciences01 natural sciencescanopy closureshade-casting abilityBasal areaSOLAR-RADIATION TRANSMITTANCEherb layerlight availabilityEnvironmental planningEcologyPolicy and LawTemperate forestForestryVegetationUnderstoryPE&RCCOMMUNITYbasal areaEcosystems Researchlight transmittanceLife Sciences & BiomedicineTemperate rainforestMonitoringEnvironmental Sciences & EcologyManagement Monitoring Policy and Law010603 evolutionary biologyEcology and EnvironmentEllenberg indicator valuesunderstoreyForest ecologyGAP FORMATIONMANAGEMENTBosecologie en Bosbeheer/dk/atira/pure/core/keywords/biologyNature and Landscape ConservationForest floorScience & Technology/dk/atira/pure/core/keywords/557265479Plant SciencesSEEDLING SURVIVAL15. Life on landCOVERForest Ecology and Forest ManagementLAYEREarth and Environmental Sciencestemperate forestcanopy coverEnvironmental scienceVEGETATION010606 plant biology & botanyRESPONSESApplied Vegetation Science
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A physiology-based Earth observation model indicates stagnation in the global gross primary production during recent decades

2020

Abstract Earth observation‐based estimates of global gross primary production (GPP) are essential for understanding the response of the terrestrial biosphere to climatic change and other anthropogenic forcing. In this study, we attempt an ecosystem‐level physiological approach of estimating GPP using an asymptotic light response function (LRF) between GPP and incoming photosynthetically active radiation (PAR) that better represents the response observed at high spatiotemporal resolutions than the conventional light use efficiency approach. Modelled GPP is thereafter constrained with meteorological and hydrological variables. The variability in field‐observed GPP, net primary productivity an…

0106 biological sciencesChinaEarth observation010504 meteorology & atmospheric sciencesEarth PlanetClimate ChangeIndiaClimate changeForcing (mathematics)Atmospheric sciences010603 evolutionary biology01 natural sciencesGIMMSEnvironmental ChemistryPrimary Research Articlelight use efficiencySouthern HemisphereEcosystemEarth system0105 earth and related environmental sciencesGeneral Environmental ScienceGlobal and Planetary ChangephotosynthesisEcologyBiospherePrimary productionTropicsland‐atmosphere interactions15. Life on landPrimary Research Articlesclimate change13. Climate actionPhotosynthetically active radiationEnvironmental scienceland-atmosphere interactionsvegetation productivity
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Chlorophyll fluorescence emission spectrum inside a leaf

2008

International audience; Chlorophyll a fluorescence can be used as an early stress indicator. Fluorescence is also connected to photosynthesis so it can be proposed for global monitoring of vegetation status from a satellite platform. Nevertheless, the correct interpretation of fluorescence requires accurate physical models. The spectral shape of the leaf fluorescence free of any re-absorption effect plays a key role in the models and is difficult to measure. We present a vegetation fluorescence emission spectrum free of re-absorption based on a combination of measurements and modelling. The suggested spectrum takes into account the photosystem I and II spectra and their relative contributio…

0106 biological sciencesChlorophyllChlorophyll aSpectral shape analysisI REACTION CENTERSSPINACH THYLAKOID MEMBRANES[SDU.ASTR.EP]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP]PHOTOSYNTHETIC MEMBRANEPhotosystem I01 natural sciencesSpectral lineHIGHER-PLANTSPROTEIN COMPLEXES03 medical and health scienceschemistry.chemical_compoundmedicineEmission spectrumPhysical and Theoretical ChemistryChlorophyll fluorescenceLIGHT-HARVESTING COMPLEX030304 developmental biologyRemote sensing0303 health sciencesPhotosystem I Protein Complex[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]Photosystem II Protein Complexfood and beveragesFluorescencePlant LeavesSpectrometry FluorescenceROOM-TEMPERATUREchemistryPHOTOSYSTEM-I[SDU]Sciences of the Universe [physics]Espectroscòpia de fluorescènciaARABIDOPSIS-THALIANAmedicine.symptomVegetation (pathology)ENERGY-TRANSFER010606 plant biology & botany
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Assessing sampling coverage of species distribution in biodiversity databases

2019

Abstract Aim Biodiversity databases are valuable resources for understanding plant species distributions and dynamics, but they may insufficiently represent the actual geographic distribution and climatic niches of species. Here we propose and test a method to assess sampling coverage of species distribution in biodiversity databases in geographic and climatic space. Location Europe. Methods Using a test selection of 808,794 vegetation plots from the European Vegetation Archive (EVA), we assessed the sampling coverage of 564 European vascular plant species across both their geographic ranges and realized climatic niches. Range maps from the Chorological Database Halle (CDH) were used as bac…

0106 biological sciencesChorological Database Halle (CDH)Range (biology)multi-scale[SDE.MCG]Environmental Sciences/Global Changesvegetation-plot databasesSpecies distributionPlant Science[SDV.BID]Life Sciences [q-bio]/Biodiversitycomputer.software_genre010603 evolutionary biology01 natural sciencesmacro-ecology333: Bodenwirtschaft und Ressourcen577: ÖkologieRealized niche widthMacroecologyEcological niche[SDV.EE]Life Sciences [q-bio]/Ecology environmentspatial scaleEcologyDatabaseNull modelvegetation plot databasesclimatic nichevascular plantSampling (statistics)species rangeVegetation15. Life on landDynamic Match Coefficient (DMC)sampling biasGeographyrealized niche1181 Ecology evolutionary biologymacroecology[SDE.BE]Environmental Sciences/Biodiversity and Ecologycomputer010606 plant biology & botanyEuropean Vegetation Archive (EVA)
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Modeling of Dead Wood Potential Based on Tree Stand Data

2020

Here we present a framework for identifying areas with high dead wood potential (DWP) for conservation planning needs. The amount and quality of dead wood and dying trees are some of the most important factors for biodiversity in forests. As they are easy to recognize on site, it is widely used as a surrogate marker for ecological quality of forests. However, wall-to-wall information on dead wood is rarely available on a large scale as field data collection is expensive and local dead wood conditions change rapidly. Our method is based on the forest growth models in the Motti forest simulator, taking into account 168 combinations of tree species, site types, and vegetation zones as well as …

0106 biological sciencesDECOMPOSITION010504 meteorology & atmospheric sciencesforest simulationForest managementBiodiversityDEBRISECOLOGY010603 evolutionary biology01 natural sciencessuojelusuunnitelmatspatial conservation prioritizationsimulointilahopuutconservation planningMETAANALYSISbiodiversity0105 earth and related environmental sciencesforests4112 ForestrySPECIES RICHNESSmetsänkäsittelyTaigacoarse woody debrisforestryNORWAY SPRUCELand-use planningForestryVegetationlcsh:QK900-98915. Life on landbiodiversiteettimetsiensuojeluTree standlcsh:Plant ecologyEnvironmental scienceGROWTHBIODIVERSITYCoarse woody debrisScale (map)land-use planning
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Can the large ecological amplitude of Ambrosia artemisiifolia explain its invasive success in France?

2008

International audience; In order to understand the successful spread of Ambrosia artemisiifolia in France, the variability of colonised habitat by this species was studied at 48 locations, from its central to peripheral area of distribution. Each site was characterised by a vegetation survey, a description of the A. artemisiifolia population and a soil analysis. Differences in the number of species, Shannon diversity index, evenness index and plant life form spectra were compared among the sites. A total of 276 species occurring along with A. artemisiifolia was observed. Therophytes and hemicryptophytes represented more than 80% of all the species. The two most frequent species occurring al…

0106 biological sciencesDISTURBED HABITATINVASIONPopulationPlant ScienceBiologyWEEDGeneralist and specialist species010603 evolutionary biology01 natural sciencesCOMMON RAGWEEDDiversity indexPlant life-form[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyeducationEcology Evolution Behavior and SystematicsAmbrosia artemisiifoliaEcological nicheeducation.field_of_studyEcology04 agricultural and veterinary sciencesVegetation15. Life on landbiology.organism_classificationHabitatGENERALIST SPECIES040103 agronomy & agriculture0401 agriculture forestry and fisheriesVEGETATION SURVEYAMBROSIA ARTEMISIIFOLIA L.Agronomy and Crop ScienceWeed Research
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Looking for Hidden Enemies of Metabarcoding: Species Composition, Habitat and Management Can Strongly Influence DNA Extraction while Examining Grassl…

2021

Despite the raising preoccupation, the critical question of how the plant community is composed belowground still remains unresolved, particularly for the conservation priority types of vegetation. The usefulness of metabarcoding analysis of the belowground parts of the plant community is subjected to a considerable bias, that often impedes detection of all species in a sample due to insufficient DNA quality or quantity. In the presented study we have attempted to find environmental factors that determine the amount and quality of DNA extracted from total plant tissue from above- and belowground samples (1,000 and 10,000 cm2). We analyzed the influence of land use intensity, soil properties…

0106 biological sciencesDNA qualitylcsh:QR1-502Plant Roots01 natural sciencesBiochemistrylcsh:MicrobiologyGrasslandgraminoid vegetationSoilCalamagrostis epigejosзлаковая растительностьSoil pHVegetation typeBiomassDNA extractionHolcus lanatusgeography.geographical_feature_categoryEcologybiologyвидовой составBiodiversityVegetationHydrogen-Ion ConcentrationPlantsGrasslandпастбищные сообществаЦентральная Европаbelowground diversityRegression AnalysisSeasonsДНКMagnesium OxideRiskrootsDNA PlantNitrogenPoaceae010603 evolutionary biologyкорнеплодыArticleCoronillaDNA Barcoding TaxonomicMolecular BiologyEcosystemgeographyсреда обитанияCentral EuropePlant communityDNAbiology.organism_classificationAgronomyметабаркодированиеPoland010606 plant biology & botanyBiomolecules
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Aquatic and Semiaquatic Heteroptera (Nepomorpha) from the Strei River Basin

2018

Abstract During a field campaign in the Strei River basin in August 2014, seven suitable habitats for aquatic and semi-aquatic true bugs were identified from the confluence of the Strei River with the Bărbat River down to the confluence with the Mureș River. Forty-eight individuals belonging to 15 species and nine families of aquatic and semi-aquatic true bugs were sampled. We mention two species considered rare in Romanian fauna: Hebrus montanus and Microvelia pygmaea. The statistic-mathematical analysis showed the similarity of the true bugs’ communities from habitats with similar conditions, as well as the relation of each species with particular habitat conditions, emphasizing the fact …

0106 biological sciencesEcology (disciplines)Drainage basin010501 environmental sciences01 natural sciencesAquatic organismsAquatic planthabitatsmedicineNepomorpharomaniaQH540-549.50105 earth and related environmental sciencesgeography.geographical_feature_categorybiologysemiaquatic true bugsEcologyEcology010604 marine biology & hydrobiologyHeteropterabiology.organism_classificationGeographyHabitatmedicine.symptomVegetation (pathology)aquatic true bugsTransylvanian Review of Systematical and Ecological Research
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