Search results for "Eva"

showing 10 items of 10805 documents

Lysimeter assessment of the Simplified Two-Source Energy Balance model and eddy covariance system to estimate vineyard evapotranspiration

2019

Abstract Estimation of crop water needs plays a key role in the water resource management in arid and semi-arid regions. Actual evapotranspiration (ETa) becomes the key term in both water and energy balances at this point. In this work we focus on vineyard due to the significance of this crop for La Mancha region, Spain, with the greatest concentration of vineyards in the world. Eddy-covariance (EC) technique has been traditionally used for ground observations of ETa. One of the aims of this work is to assess the feasibility of an EC system under the challenging conditions of a small drip-irrigated vineyard in a semi-arid environment. Two-source energy balance modelling allows for ETa estim…

0106 biological sciencesAtmospheric ScienceGlobal and Planetary Change010504 meteorology & atmospheric sciencesEddy covarianceEnergy balanceForestryResidualAtmospheric sciences01 natural sciencesVineyardLysimeterEvapotranspirationLatent heatEnvironmental scienceAgronomy and Crop Science010606 plant biology & botany0105 earth and related environmental sciencesTranspirationAgricultural and Forest Meteorology
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A simple modelling of crop water balance for agrometeorological applications

1991

Abstract A simple agrometeorological model of crop water balance is presented. It aims at the best estimate possible of the water balance components with the simplest formulation and the minimum set of input data. The model works with a time step of one day and uses rainfall and the calculated evapotranspiration as the climatic inputs. Some soil and crop characteristics, such as the maximum available moisture and crop coefficients are required as input parameters. The model is tested using experimental data obtained on wheat and lucerne crops in the Paris region. The sensitivity of the model is discussed and some possible applications to rainfed crop management are presented.

0106 biological sciencesBILAN HYDRIQUEAgricultural engineeringTime step01 natural sciencesCropWater balanceSimple (abstract algebra)EvapotranspirationAGROMETEOROLOGIESensitivity (control systems)ComputingMilieux_MISCELLANEOUS2. Zero hungerMoistureEVAPOTRANSPIRATIONEcological Modeling04 agricultural and veterinary sciencesMODELISATIONCrop coefficient[SDE.BE] Environmental Sciences/Biodiversity and Ecology040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceRELATION SOL PLANTE[SDE.BE]Environmental Sciences/Biodiversity and Ecology010606 plant biology & botany
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Octopamine and dopamine mediate waggle dance following and information use in honeybees.

2020

Honeybees can be directed to profitable food sources by following waggle dances performed by other bees. Followers can often choose between using this social information or relying on memories about food sources they have visited in the past, so-called private information. While the circumstances that favour the use of either social or private information have received considerable attention, still little is known about the neurophysiological basis of information use. We hypothesized that octopamine and dopamine, two biogenic amines with important functions in reward signalling and learning, affect dance use in honeybees. We orally administered octopamine and dopamine when bees collected fo…

0106 biological sciencesBees/physiologyDancemedia_common.quotation_subjectDopamine010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyOctopamine/metabolism03 medical and health scienceschemistry.chemical_compoundReward systemPerceptionAnimalsBehaviourSocial BehaviorPrivate information retrievalOctopamine030304 developmental biologyGeneral Environmental Sciencemedia_common0303 health sciencesGeneral Immunology and MicrobiologyInformation flowWaggle danceGeneral MedicineOctopamine (drug)BeesSocial learningDopamine/metabolismAnimal CommunicationchemistryGeneral Agricultural and Biological SciencesPsychologyCognitive psychologyProceedings. Biological sciences
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GrassPlot – a database of multi-scale plant diversity in Palaearctic grasslands

2018

GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (relevés) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001; ... 1,000 m²) and on nested-plot series with at least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes a…

0106 biological sciencesBiodiversityPlant Sciencecomputer.software_genre01 natural sciencesGrasslandSAMPLING-DESIGNRICHNESSEcoinformaticsddc:550biodiversity; European Vegetation Archive (EVA); Eurasian Dry Grassland Group (EDGG); grassland vegetation; GrassPlot; macroecology; multi-taxon; nested plot; scale-dependence; species-area relationship (SAR); sPlot; vegetation-plot databasescale-dependenceMacroecologybiodiversity2. Zero hungerSCALE DEPENDENCEgeography.geographical_feature_categoryDatabaseVegetationspecies-area relationship (SAR)Grasslandnested plotGeographymacroecologyInstitut für GeowissenschaftenEurasian Dry Grassland Group (EDGG)vegetation-plot database.EUROPEGrassPlotbiodiversity ; European Vegetation Archive (EVA) ; Eurasian Dry Grassland Group (EDGG) ; grassland vegetation ; GrassPlot ; macroecology ; multi-taxon ; nested plot scale-dependence ; species-area relationship (SAR) ; sPlot ; vegetation-plot database010603 evolutionary biologyEcoinformaticsmulti-taxon577: ÖkologieMETAANALYSISENVIRONMENTData collectionsPlotgrass- land vegetationDRY GRASSLANDSgrassland vegetationvegetation-plot database15. Life on landbiodiversity • European Vegetation Archive (EVA) • Eurasian Dry Grassland Group (EDGG) • grassland vegetation • GrassPlot • macroecology • multi-taxon • nested plot • scale-dependence • species-area relationship (SAR) • sPlot • vegetation-plot databaseMetadataPATTERNSSPECIES-AREA RELATIONSHIPSNested plot scale-dependenceVEGETATIONSpecies richnesscomputerbiodiversity; European Vegetation Archive (EVA); Eurasian Dry Grassland Group (EDGG); grassland vegetation; GrassPlot; macroecology; multi-taxon; nested plot scale-dependence; species-area relationship (SAR); sPlot; vegetation-plot database.010606 plant biology & botanyEuropean Vegetation Archive (EVA)
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EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats

2020

Aim The EUNIS Habitat Classification is a widely used reference framework for European habitat types (habitats), but it lacks formal definitions of individual habitats that would enable their unequivocal identification. Our goal was to develop a tool for assigning vegetation-plot records to the habitats of the EUNIS system, use it to classify a European vegetation-plot database, and compile statistically-derived characteristic species combinations and distribution maps for these habitats. Location Europe. Methods We developed the classification expert system EUNIS-ESy, which contains definitions of individual EUNIS habitats based on their species composition and geographic location. Each ha…

0106 biological sciencesBos- en Landschapsecologiecoastal habitat ; diagnostic species ; distribution map ; dune vegetation European Nature Information System (EUNIS) ; European Vegetation Archive (EVA) ; expert system ; forest ; grassland ; habitat classification ; man-made habitat ; shrubland ; vegetation database ; vegetation plot ; wetlandBiodiversityDistribution (economics)Wetlandcomputer.software_genre01 natural sciencesGrasslandforestman-made habitatForest and Landscape EcologyPlant ecologybiodiversitygeography.geographical_feature_categoryEcologyVegetationPE&RCwetlandEuropeGeographyHabitathabitat classificationVegetatie Bos- en LandschapsecologieEuropaEuropean Nature Information System (EUNIS)Cartographydune vegetationvegetation plotHabitat (Ecology)databasescoastal habitat; diagnostic species; distribution map; dune vegetation; European Nature Information System (EUNIS); European Vegetation Archive (EVA); expert system; forest; grassland; habitat classification; man-made habitat; shrubland; vegetation database; vegetation plot; wetlandHàbitat (Ecologia)Management Monitoring Policy and Law010603 evolutionary biologyShrublanddistribution mapvegetationinvasionsvegetation database14. Life underwatercoastal habitat577: ÖkologieVegetatieNature and Landscape Conservationexpert systemforestsVegetationbusiness.industryEcologia vegetalwetland formalized classificationalien plants15. Life on landExpert systemfidelitydiagnostic speciesexampleVegetation Forest and Landscape Ecologygrassland[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusinessman‐made habitatshrublandcomputer010606 plant biology & botanyEuropean Vegetation Archive (EVA)
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Horticultural performance of 23 Sicilian olive genotypes in hedgerow systems: Vegetative growth, productive potential and oil quality

2017

Abstract The super high density (SHD) model is a new olive growing system characterized by earlier and higher yields, fully mechanized harvesting and reduced orchard management costs. Until recently all commercial SHD orchards were planted primarily with three varieties: ‘Arbequina’, ‘Arbosana’ and ‘Koroneiki’. To increase variety diversity, broaden available olive oil chemical and organoleptic profiles, and olive oils for marketing, minor local varieties should be evaluated for adaptability to the SHD system. This study compares multiple Sicilian native genotypes to the three current cultivars ‘Arbequina’, ‘Arbosana’ and ‘Koroneiki’. The cumulative fruit and oil production, trunk-cross sec…

0106 biological sciencesCanopyYieldVegetative reproductionmedia_common.quotation_subjectSettore AGR/13 - Chimica AgrariaOrganolepticHorticultureBiology01 natural sciencesAdaptabilityGermplasmCultivar evaluationCultivarProductivitymedia_commonOlea europaea L.Super high density orchardfood and beverages04 agricultural and veterinary sciencesSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeHorticultureAgronomy040103 agronomy & agriculture0401 agriculture forestry and fisheriesOil qualityOrchardArbequina010606 plant biology & botanyScientia Horticulturae
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Nest sites of a strong excavator, the Great Spotted Woodpecker Dendrocopos major, in a primeval forest

2017

In managed forests, birds that create their own breeding holes in trees have limited access to substrates in which they can excavate. Therefore, nest site use in these forests possibly reflects availability of substrates more than species preferences. We analysed data on nest sites of Great Spotted Woodpeckers Dendrocopos major collected during 1987–2013 in the strictly protected part of Białowieża National Park in East Poland. The woodpeckers excavated breeding holes in 11 tree species, but species used in individual habitats varied greatly: Alder Alnus glutinosa was almost the only species used in the riverine forest; Common Aspen Populus tremula, Common Hornbeam Carpinus betulus and Pedu…

0106 biological sciencesCarpinus betulusgeographygeography.geographical_feature_categorybiologyEcology010604 marine biology & hydrobiologyScots pineWoodpeckertree holesbiology.organism_classificationOld-growth forest010603 evolutionary biology01 natural sciencesprimeval forestQuercus roburAlnus glutinosaNestDendrocopos majornest site usenest site choicewood decayhabitat occupancyAnimal Science and ZoologyEcology Evolution Behavior and SystematicsArdea
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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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Cost-efficiency assessments of marine monitoring methods lack rigor—a systematic mapping of literature and an end-user view on optimal cost-efficienc…

2021

Global deterioration of marine ecosystems, together with increasing pressure to use them, has created a demand for new, more efficient and cost-efficient monitoring tools that enable assessing changes in the status of marine ecosystems. However, demonstrating the cost-efficiency of a monitoring method is not straightforward as there are no generally applicable guidelines. Our study provides a systematic literature mapping of methods and criteria that have been proposed or used since the year 2000 to evaluate the cost-efficiency of marine monitoring methods. We aimed to investigate these methods but discovered that examples of actual cost-efficiency assessments in literature were rare, contr…

0106 biological sciencesCost effectivenessComputer scienceenvironmental effectsCost-efficiency analysiscostsmeriensuojeluCost of monitoringmonitorointimuutos010501 environmental scienceskäyttömarine monitoring tool01 natural sciencesympäristön tilakartoitusresearch methodsmethod performancestandardointichangestate of the environmentmerenkulkijatMonitoring methodsmappingmarinersReliability (statistics)General Environmental Scienceevaluationcost effectivenessCost efficiencyMarine monitoring toolComparabilityvesiekosysteemitGeneral MedicinetrackingPollutionkustannuksetmittausmenetelmätRisk analysis (engineering)ympäristövaikutuksetenvironmental changesCosts and Cost AnalysisecosystemsmeretEnvironmental Monitoringmethod standardizationevaluation methodsarviointimenetelmätOptimal costseasManagement Monitoring Policy and LawloppukäyttäjätArticlemethodsmenetelmättutkimusmenetelmätseurantaekologinen tila14. Life underwaterEcosystem0105 earth and related environmental sciencesEnd user010604 marine biology & hydrobiologyReproducibility of ResultskustannustehokkuusMethod standardizationecosystems (ecology)cost of monitoringTerm (time)ekosysteemit (ekologia)monitoringcost-efficiency analysiskustannus-hyötyanalyysiMethod performanceusearviointiEnvironmental Monitoring and Assessment
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Fine‐grain beta diversity of Palaearctic grassland vegetation

2021

QUESTIONS: Which environmental factors influence fine-grain beta diversity of vegetation and do they vary among taxonomic groups? LOCATION: Palaearctic biogeographic realm. METHODS: We extracted 4,654 nested-plot series with at least four different grain sizes between 0.0001 m² and 1,024 m² from the GrassPlot database, covering a wide range of different grassland and other open habitat types. We derived extensive environmental and structural information for these series. For each series and four taxonomic groups (vascular plants, bryophytes, lichens, all), we calculated the slope parameter (z-value) of the power law species–area relationship (SAR), as a beta diversity measure. We tested whe…

0106 biological sciencesCzechAgriculture and Food SciencesFine grainelevation333.7: Landflächen NaturerholungsgebietehabitatPlant ScienceMaster planFine-grain beta diversity01 natural sciencesScale dependenceevolutionaryRICHNESSvascular plantsHABITATMacroecologyComputingMilieux_MISCELLANEOUSmedia_commonMean occupancyProductivity2. Zero hungerdisturbance0303 health sciencesEcologySettore BIO/02 - Botanica SistematicaEnvironmental researchPalaearctic grasslanddifferentiationenvironmental heterogeneityspecies-area relationship (SAR)gradientDIFFERENTIATION580: Pflanzen (Botanik)disturbance; elevation; fine-grain beta diversity; heterogeneity; land use; macroecology; mean occupancy; Palaearctic grassland; productivity; scale dependence; species–area relationship (SAR); z-valuescale dependencelanguagemacroecologyproductivitymedia_common.quotation_subjectmean occupancyLibrary scienceSpecies–area relationship (SAR)Environmental drivers Grasslands Lichens Mosses Species-area relationship SAR Vascular Plands010603 evolutionary biologySpecies-area curve03 medical and health sciencesspecies–area relationship (SAR)ExcellencePolitical scienceGRADIENTSlovak030304 developmental biologyspatial scalefine-grain beta diversityBiology and Life Sciencesland useDisturbance15. Life on landZ-valuelanguage.human_languageENVIRONMENTAL HETEROGENEITYEarth and Environmental Sciencesz-valueElevationLand useEVOLUTIONARYSPATIAL SCALESPECIES-AREA RELATIONSHIPSVASCULAR PLANTS[SDE.BE]Environmental Sciences/Biodiversity and EcologyheterogeneityHeterogeneityrichness
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