Search results for "TW"

showing 10 items of 16860 documents

Biomechanics and functional morphology of a climbing monocot.

2015

Climbing monocots can develop into large bodied plants despite being confined by primary growth. In our study on Flagellaria indica we measured surprisingly high stem biomechanical properties (in bending and torsion) and we show that the lack of secondary growth is overcome by a combination of tissue maturation processes and attachment mode. This leads to higher densities of mechanically relevant tissues in the periphery of the stem and to the transition from self-supporting to climbing growth. The development of specialised attachment structures has probably underpinned the evolution of numerous other large bodied climbing monocot taxa.

0106 biological sciences10031029Plant ScienceBiologythree-point bending010603 evolutionary biology01 natural sciencestwist-to-bend ratioTendrilVascular cambiummedicineBiomechanicsclimbing plantsResearch Articlesmonocotyledonsstructural modulus of torsionfunctional morphologyFlexural modulusBiomechanicsStiffnessfood and beveragesFlexural rigiditystructural bending modulusAnatomyVascular bundleFlagellaria indicaClimbingmedicine.symptomhuman activities010606 plant biology & botanyAoB PLANTS
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Comparison of different methods to assess the distribution of alien plants along the road network and use of Google Street View panoramas interpretat…

2021

The survey by foot in the field is compared to the survey from a car, the photo-interpretation of Google Street View (GSV) panoramas continuously and at intervals of 1.5 km and the photo-interpretation of Google Earth aerial images on a 10 km stretch of road in Sicily. The survey by foot was used as reference for the other methods. The interpretation of continuous GSV panoramas gave similar results as the assessment by car in terms of the number of species identified and their location, but with lower cost. The interpretation online of aerial photos allowed the identification of a limited number of taxa, but gave a good localisation for them. Interpretation of GSV panoramas, each of 1.5 km,…

0106 biological sciencesAerial photosQH301-705.5roadsideDistribution (economics)Alien010603 evolutionary biology01 natural sciencesremote sensingremalien invasive plantBiology (General)Ecology Evolution Behavior and Systematicsalien invasive plantsEcologybusiness.industrySettore BIO/02 - Botanica SistematicaNetwork onInterpretation (philosophy)Road ecologyroad ecologyGeographySettore BIO/03 - Botanica Ambientale E ApplicataLower costbusinessCartographyResearch Article010606 plant biology & botanyGlobal biodiversityBiodiversity Data Journal
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Potential use of machine learning methods in assessment of Fusarium culmorum and Fusariumproliferatum growth and mycotoxin production in treatments w…

2021

Abstract The use of Fusarium-controlling fungicides is necessary to limit crop loss. Little is known about the effect of commercial antifungal formulations at sub-lethal doses, and their interaction with abiotic factors, on Fusarium culmorum and F. proliferatum development and on zearalenone and fumonisin biosynthesis, respectively. In the present study different treatments based on sulfur, trifloxystrobin and demethylation inhibitor fungicides (cyproconazole, tebuconazole and prothioconazole) under different environmental conditions, in Maize Extract Medium (MEM), are assayed in vitro. Then, several machine learning methods (neural networks, random forest and extreme gradient boosted trees…

0106 biological sciencesAntifungal AgentsWater activityBiologyMachine learningcomputer.software_genre01 natural sciencesFumonisinsZea maysMachine Learning03 medical and health scienceschemistry.chemical_compoundFusariumFumonisinGeneticsFusarium culmorumMycotoxinZearalenoneEcology Evolution Behavior and Systematics030304 developmental biologyTebuconazoleAbiotic component0303 health sciencesbusiness.industryfood and beveragesbiology.organism_classificationFungicideInfectious DiseaseschemistryArtificial intelligencebusinesscomputer010606 plant biology & botanyFungal biology
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Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs…

2020

Abstract Image processing and artificial intelligence (AI) techniques have been applied to analyze, evaluate and classify mulberry fruit according to their ripeness (unripe, ripe, and overripe). A total of 577 mulberries were graded by an expert and the images were captured by an imaging system. Then, the geometrical properties, color, and texture characteristics of each segmented mulberry was extracted using two feature reduction methods: Correlation-based Feature Selection subset (CFS) and Consistency subset (CONS). Artificial Neural Networks (ANN) and Support Vector Machine (SVM) were applied to classify mulberry fruit. ANN classification with the CFS subset feature extraction method res…

0106 biological sciencesArtificial neural networkbusiness.industryFeature extractionPattern recognitionFeature selectionImage processing04 agricultural and veterinary sciencesHorticulturecomputer.software_genreRipeness01 natural sciencesExpert system040501 horticultureMachine vision systemSupport vector machineArtificial intelligence0405 other agricultural sciencesbusinessAgronomy and Crop Sciencecomputer010606 plant biology & botanyFood ScienceMathematicsPostharvest Biology and Technology
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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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Database of diazotrophs in global ocean: abundance, biomass and nitrogen fixation rates

2012

Marine N<sub>2</sub> fixing microorganisms, termed diazotrophs, are a key functional group in marine pelagic ecosystems. The biological fixation of dinitrogen (N<sub>2</sub>) to bioavailable nitrogen provides an important new source of nitrogen for pelagic marine ecosystems and influences primary productivity and organic matter export to the deep ocean. As one of a series of efforts to collect biomass and rates specific to different phytoplankton functional groups, we have constructed a database on diazotrophic organisms in the global pelagic upper ocean by compiling about 12 000 direct field measurements of cyanobacterial diazotroph abundances (based on microscopic …

0106 biological sciencesBiogeochemical cyclePHYTOPLANCTON010504 meteorology & atmospheric sciencesPRODUCTION PRIMAIREFONCTIONNEMENT DE L'ECOSYSTEMEBiologycomputer.software_genre01 natural sciencesDeep seaABONDANCEAbundance (ecology)PhytoplanktonEcosystem14. Life underwaterlcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350Biomass (ecology)BIOMASSEDatabase010604 marine biology & hydrobiologyFIXATION BIOLOGIQUE DE L'AZOTElcsh:QE1-996.5MICROORGANISMEPelagic zoneBASE DE DONNEESlcsh:GeologyOceanography13. Climate action[SDU]Sciences of the Universe [physics]MILIEU MARINNitrogen fixationGeneral Earth and Planetary Sciencescomputer
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Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation

2019

Our understanding and ability to effectively monitor and manage coastal ecosystems are severely limited by observation methods. Automatic recognition of species in natural environment is a promising tool which would revolutionize video and image analysis for a wide range of applications in marine ecology. However, classifying fish from images captured by underwater cameras is in general very challenging due to noise and illumination variations in water. Previous classification methods in the literature relies on filtering the images to separate the fish from the background or sharpening the images by removing background noise. This pre-filtering process may negatively impact the classificat…

0106 biological sciencesBiometricsComputer sciencebusiness.industry010604 marine biology & hydrobiologyPattern recognitionSharpening010603 evolutionary biology01 natural sciencesConvolutional neural networkBackground noiseA priori and a posterioriArtificial intelligenceUnderwaterbusinessTransfer of learningClassifier (UML)
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The shell matrix of the pulmonate land snail Helix aspersa maxima.

2012

12 pages; International audience; In mollusks, the shell mineralization process is controlled by an array of proteins, glycoproteins and polysaccharides that collectively constitute the shell matrix. In spite of numerous researches, the shell protein content of a limited number of model species has been investigated. This paper presents biochemical data on the common edible land snail Helix aspersa maxima, a model organism for ecotoxicological purposes, which has however been poorly investigated from a biomineralization viewpoint. The shell matrix of this species was extracted and analyzed biochemically for functional in vitro inhibition assay, for amino acid and monosaccharides composition…

0106 biological sciencesBiomineralizationPulmonate snailPhysiology01 natural sciencesBiochemistryMineralization (biology)chemistry.chemical_compoundX-Ray DiffractionTandem Mass SpectrometryElectrophoresis Gel Two-DimensionalHaliotisAmino AcidsComputingMilieux_MISCELLANEOUSchemistry.chemical_classification0303 health sciencesEcologyMonosaccharidesLand snailImmunogold labellingImmunohistochemistryAmino acidBiochemistryElectrophoresis Polyacrylamide GelTerrestrial snail ; biomineralization ; shell ; aragonite ; crossed-lamellar ; protein ; immunogold ; gel electrophoresisFrancefood.ingredientBiology010603 evolutionary biologyCalcium Carbonate03 medical and health sciencesfoodSpecies SpecificityAnimal ShellsShellAnimals14. Life underwater[SDV.IB.BIO]Life Sciences [q-bio]/Bioengineering/BiomaterialsMolecular Biology030304 developmental biologyHelix SnailsProteinsCrossed-lamellarbiology.organism_classification[ SDV.IB.BIO ] Life Sciences [q-bio]/Bioengineering/BiomaterialsGel electrophoresis[SDV.BA.ZI]Life Sciences [q-bio]/Animal biology/Invertebrate ZoologyCalcium carbonatechemistryMicroscopy Electron ScanningBiomineralizationPinctadaComparative biochemistry and physiology. Part B, Biochemistrymolecular biology
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Systematic targeting of management actions as a tool to enhance conservation of traditional rural biotopes

2017

Traditional rural biotopes (TRBs), which are biologically and culturally valuable habitats maintained by low-intensity grazing and mowing, are a core element of biodiversity in Europe. During the last decades, TRBs have faced severe habitat loss and fragmentation due to agricultural modernization. Despite their well-known critical state, their conservation remains inadequate, thus raising a need to advance TRB conservation via spatial land-use planning. In this study we analyze a national GIS database on TRBs in order to examine how the current TRB network can be complemented in terms of conservation value based on known ecological characteristics. Given different target scenarios for the a…

0106 biological sciencesBiotopemaisemanhoitobiodiversity managementBiodiversitylandscape management010603 evolutionary biology01 natural sciencesspatial prioritizationFunctional networksGrazingEcology Evolution Behavior and SystematicsNature and Landscape Conservationbusiness.industry010604 marine biology & hydrobiologyEnvironmental resource managementSubsidyHabitat destructionGeographyHabitatThreatened speciesta1181semi-natural habitatsbiodiversity conservationzonation softwarebusinessBiological Conservation
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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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