Search results for " scale"

showing 10 items of 2440 documents

Give me a sample of air and I will tell which species are found from your region : Molecular identification of fungi from airborne spore samples

2017

Fungi are a megadiverse group of organisms, they play major roles in ecosystem functioning and are important for human health, food production and nature conservation. Our knowledge on fungal diversity and fungal ecology is however still very limited, in part because surveying and identifying fungi is time demanding and requires expert knowledge. We present a method that allows anyone to generate a list of fungal species likely to occur in a region of interest, with minimal effort and without requiring taxonomical expertise. The method consists of using a cyclone sampler to acquire fungal spores directly from the air to an Eppendorf tube, and applying DNA barcoding with probabilistic specie…

0106 biological sciences0301 basic medicineBACTERIALBiodiversityAir MicrobiologyDIVERSITYmolecular identificationLANDSCAPE SCALE01 natural sciencesDNA barcodingCOMMUNITY COMPOSITIONekosysteemitTEMPORAL VARIABILITYmolecular biologymolekyylibiologiaFinlandtunnistaminen2. Zero hungeralue-ekologiaOUTDOOR AIREcologySampling (statistics)ReplicateBiodiversitySpores Fungalekosysteemipalvelut1181 Ecology evolutionary biologySeasonsrecognitionsienetecosystemsBiotechnologyregional ecologySample (material)SHORT DISTANCESBiologyspore010603 evolutionary biology03 medical and health sciencesSpecies SpecificityGeneticsDNA Barcoding Taxonomicfungal sampling methodEcosystemEcology Evolution Behavior and SystematicsMolecular identificationWOOD-INHABITING FUNGIFungi15. Life on landatmospheric diversityATMOSPHERESporeekosysteemit (ekologia)fungal diversity030104 developmental biologyfungal survey1182 Biochemistry cell and molecular biologyfungiDISPERSAL LIMITATIONecosystem services
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Through the eye of a lizard: hue discrimination in a lizard with ventral polymorphic coloration.

2017

Colour polymorphisms are thought to be maintained by complex evolutionary processes some of which require that the colours of the alternative morphs function as chromatic signals to conspecifics. Unfortunately, a key aspect of this hypothesis has rarely been studied: whether the study species perceives its own colour variation as discrete rather than continuous. The European common wall lizard (Podarcis muralis) presents a striking colour polymorphism: the ventral surface of adults of both sexes may be coloured orange, white, yellow, or with a mosaic of scales combining two colours (orange-white, orange-yellow). Here we use a discrimination learning paradigm to test if P. muralis is capable…

0106 biological sciences0301 basic medicineMalegenetic structuresPhysiologyWall lizardAnimal ScalesZoologyOrange (colour)Aquatic Science010603 evolutionary biology01 natural sciencesDiscrimination Learning03 medical and health sciencesbiology.animalAnimalsHue discriminationChromatic scaleDiscrimination learningMolecular BiologyEcology Evolution Behavior and SystematicsHuePolymorphism GeneticbiologyColor VisionLizardPigmentationLizardsbiology.organism_classificationPodarcis muralis030104 developmental biologyInsect ScienceAnimal Science and ZoologyFemaleThe Journal of experimental biology
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Effects of the temporal scale of observation on the analysis of aquatic invertebrate metacommunities

2020

The development of metacommunity theory has boosted the implementation of numerous empirical tests with field data, mostly focused on the role of spatial and environmental gradients on metacommunity organization. These studies showed an important dependence of the results on the observational scale considered, i.e., spatial grain, sampling spacing, and extent. However, few works deal with time per se as a component explaining metacommunity structure, even when data from periodic sampling are available. We suggest adding time explicitly to metacommunity analysis, but taking into account that the temporal scale of observation could affect the estimation of the relative influence of environmen…

0106 biological sciences0301 basic medicineMetacommunitytemporal scaleScale (ratio)Laglcsh:EvolutionselectionAtmospheric sciences010603 evolutionary biology01 natural sciences03 medical and health scienceslcsh:QH540-549.5lcsh:QH359-425dispersalTemporal scalesEcology Evolution Behavior and SystematicsInvertebrateEcologySampling (statistics)Ecologia030104 developmental biologymetacommunity dynamicsSpatial ecologyEnvironmental scienceBiological dispersalecological driftlcsh:Ecology
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Microalgae, old sustainable food and fashion nutraceuticals.

2017

8 p.-1 fig.

0106 biological sciences0301 basic medicineOpinionbusiness.industryNatural resource economicsIndustrial scaleBioengineeringHealth benefits01 natural sciencesApplied Microbiology and BiotechnologyBiochemistryBiotechnology03 medical and health sciences030104 developmental biologyNutraceutical010608 biotechnologySustainable agricultureDietary SupplementsMicroalgaeAnimalsHumansBusinessSDG 2: End hunger achieve food security and improved nutrition and promote sustainable agricultureNutritive ValueBiotechnologyMicrobial biotechnology
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How many scales on the wings? A case study based on Colias crocea (Geoffroy, 1785) (Hexapoda: Lepidoptera, Pieridae)

2019

Abstract The covering by scales of the wings of Lepidoptera contributes to multiple functions that are critical for their survival and reproduction. In order to gain a better understanding about their distribution, we have exhaustively studied 4 specimens of Colias crocea (Geoffroy, 1785). We have quantified the sources of variability affecting scale density. The results indicate that the scale covering of butterfly wings may be remarkably heterogeneous, and that the importance of the sources of variability differs between forewings and hindwings. Thus, in forewing the greatest variability occurs between sectors, while in the hindwings it occurs between sides, with a higher density of scale…

0106 biological sciences0301 basic medicineScale (anatomy)Adaptive valueAnimal ScalesZoology010603 evolutionary biology01 natural sciencesPredationHexapodaLepidoptera genitalia03 medical and health sciencesAnimalsWings AnimalColias croceaEcology Evolution Behavior and SystematicsbiologyGeneral Medicinebiology.organism_classification030104 developmental biologyInsect ScienceButterflyFemaleButterfliesDevelopmental BiologyPieridaeArthropod Structure & Development
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2020

Understanding how and why rates of evolutionary diversification vary is a key issue in evolutionary biology, ecology, and biogeography. Evolutionary rates are the net result of interacting processes summarized under concepts such as adaptive radiation and evolutionary stasis. Here, we review the central concepts in the evolutionary diversification literature and synthesize these into a simple, general framework for studying rates of diversification and quantifying their underlying dynamics, which can be applied across clades and regions, and across spatial and temporal scales. Our framework describes the diversification rate (d) as a function of the abiotic environment (a), the biotic envir…

0106 biological sciences0303 health sciencesEcologyBiogeographyEcology (disciplines)NicheContext (language use)Phylogenetic comparative methods15. Life on landDiversification (marketing strategy)010603 evolutionary biology01 natural sciences03 medical and health sciencesGeography13. Climate actionEvolutionary biologyAdaptive radiationTemporal scalesEcology Evolution Behavior and Systematics030304 developmental biologyNature and Landscape ConservationEcology and Evolution
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A preliminary investigation about the observation of regional skin temperatures following cumulative training loads in triathletes during training ca…

2019

There are controversial results in the literature concerning the concept that cumulative training load could affect basal skin temperature in the days following training sessions. The objective was to measure skin temperature in triathletes during a training camp with cumulative training load. Ten male recreational triathletes involved in a training camp underwent measurements of perception of pain and fatigue (visual analogue scale), skin temperature (infrared thermography), and jump performance (counter movement jump test) before, one day, and two days after the beginning of the training camp. All measurements were performed before the breakfast. Jump height did not differ between the day…

0106 biological sciencesAdultmedicine.medical_specialtyPhysiologyVisual analogue scale030310 physiology010603 evolutionary biology01 natural sciencesBiochemistry03 medical and health sciencesPhysical medicine and rehabilitationmedicineHumansTraining loadExercise0303 health sciencesExercise recoverybusiness.industryTraining (meteorology)Skin temperatureMyalgiaMiddle AgedBicyclingAthletesMuscle FatigueCounter movement jumpJumpPhysical EnduranceBody regionGeneral Agricultural and Biological SciencesbusinessSkin TemperatureDevelopmental BiologyJournal of thermal biology
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Environment-sensitivity functions for gross primary productivity in light use efficiency models

2022

International audience; The sensitivity of photosynthesis to environmental changes is essential for understanding carbon cycle responses to global climate change and for the development of modeling approaches that explains its spatial and temporal variability. We collected a large variety of published sensitivity functions of gross primary productivity (GPP) to different forcing variables to assess the response of GPP to environmental factors. These include the responses of GPP to temperature; vapor pressure deficit, some of which include the response to atmospheric CO2 concentrations; soil water availability (W); light intensity; and cloudiness. These functions were combined in a full fact…

0106 biological sciencesAtmospheric Science010504 meteorology & atmospheric sciencesVapour Pressure DeficitBiomeRandomly sampled sitesPlant Ecology and Nature ConservationForcing (mathematics)04 Earth Sciences 06 Biological Sciences 07 Agricultural and Veterinary SciencesAtmospheric sciences01 natural sciences[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsFluxNetLaboratory of Geo-information Science and Remote SensingEvapotranspirationMeteorology & Atmospheric SciencesEcosystemLaboratorium voor Geo-informatiekunde en Remote SensingRadiation use efficiencySensitivity formulations0105 earth and related environmental sciencesGlobal and Planetary ChangeDiffuse fractionGlobal warmingModel equifinalityForestryModel comparison15. Life on landPE&RCLight intensity13. Climate actionEnvironmental sciencePlantenecologie en NatuurbeheerCarbon assimilationTemporal scalesAgronomy and Crop Science010606 plant biology & botany
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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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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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