Search results for "relation"

showing 10 items of 10542 documents

Scale dependence of species–area relationships is widespread but generally weak in Palaearctic grasslands

2021

Questions: Species–area relationships (SARs) are fundamental for understanding biodiversity patterns and are generally well described by a power law with a constant exponent z. However, z-values sometimes vary across spatial scales. We asked whether there is a general scale dependence of z-values at fine spatial grains and which potential drivers influence it. Location: Palaearctic biogeographic realm. Methods: We used 6,696 nested-plot series of vascular plants, bryophytes and lichens from the GrassPlot database with two or more grain sizes, ranging from 0.0001 m² to 1,024 m² and covering diverse open habitats. The plots were recorded with two widespread sampling approaches (rooted presenc…

0106 biological sciencesBeta diversityGLM generalized linear model grasslands SAR species area relationship333.7: Landflächen NaturerholungsgebieteGrassPlotBeta diversityPlant Science010603 evolutionary biology01 natural sciencesSpecies-area curveGrasslandPower lawScale dependencevegetationComputingMilieux_MISCELLANEOUSspecies–area relationshipRooted presenceSpecies–area relationshipgeographygeography.geographical_feature_categoryVegetationpower lawEcologyEcologyShoot presenceVegetation15. Life on landZ-valueGrasslandrooted presencePalaearctic580: Pflanzen (Botanik)scale dependencez-valueSettore BIO/03 - Botanica Ambientale E Applicatabeta diversity[SDE.BE]Environmental Sciences/Biodiversity and EcologygrasslandHeterogeneityScale (map)shoot presence010606 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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Integrative effects of vine water relations and grape ripeness level of vitis vinifera L. cv. Shiraz/Richter 99. II. grape composition and wine quali…

2016

Regulation of grapevine water status is a common practice to manipulate grape composition and wine quality. In this investigation the effect of plant water status (two field water capacity-based irrigation levels, 75% and 100%, applied at single and combined vine developmental stages) and ripeness level (harvesting at different soluble solid levels) on grape composition and wine quality of Vitis vinifera L. cv. Shiraz/ Richter 99 was determined. Integrative effects of vine water relations and grape ripeness level, specifically in a Mediterranean high winter rainfall area, have not yet been investigated systematically. Source:sink mechanisms and dynamics and compositional and physical change…

0106 biological sciencesCanopyIrrigationRipeness in viticultureWater relationwine qualityBiologyRipeness01 natural sciencesirrigationwine style040501 horticultureGrapevine irrigation water relations canopy grape ripeness berry composition wine quality wine stylechemistry.chemical_compoundGrape ripeneTerroirWinecanopygrape ripenessRipening04 agricultural and veterinary sciencesSettore AGR/15 - Scienze E Tecnologie Alimentariberry compositionberry ripenessgrapevineSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeHorticultureAgronomychemistryirrigation; water relations; canopy; grape ripeness; berry ripeness; berry composition; wine quality; wine style; grapevineAnthocyaninGrapevinewater relations0405 other agricultural sciences010606 plant biology & botany
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Effect of pulp cell number and assimilate availability on dry matter accumulation rate in a banana fruit (Musa sp. AAA group 'Grande Naine' (Cavendis…

2001

Fruit position on the bunch (inflorescence) is an important part of variability in banana fruit weight at harvest, as fruits at the bottom of the bunch (distal fruits) are approx. 40% smaller than those at the top (proximal fruits). In this study, the respective roles of cell number and cell filling rate in the development of pulp dry weight are estimated. To this end, the source/sink ratio in the plant was altered at different stages of fruit development. Leaf shading (reducing resource availability), bunch bagging (increasing sink activity by increasing fruit temperature), and bunch trimming (decreasing sink size by fruit pruning), applied once cell division had finished, showed that the …

0106 biological sciencesCell numberFruit developmentF62 - Physiologie végétale - Croissance et développementPlant ScienceBiology01 natural sciencesSink (geography)[SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics03 medical and health sciencesFilling rateCelluleDry weightstomatognathic systemBananeDry matterPulpe de fruitshttp://aims.fao.org/aos/agrovoc/c_3126Croissancehttp://aims.fao.org/aos/agrovoc/c_4993ComputingMilieux_MISCELLANEOUS030304 developmental biology2. Zero hunger0303 health sciencesgeographygeography.geographical_feature_categoryhttp://aims.fao.org/aos/agrovoc/c_1418BANANIERfungifood and beveragesMusaECOPHYSIOLOGIE[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/BotanicsTempératurehttp://aims.fao.org/aos/agrovoc/c_921Relation source puitsstomatognathic diseaseshttp://aims.fao.org/aos/agrovoc/c_3394http://aims.fao.org/aos/agrovoc/c_7657AgronomyInflorescencehttp://aims.fao.org/aos/agrovoc/c_806http://aims.fao.org/aos/agrovoc/c_34110Shading010606 plant biology & botanyDéveloppement biologique
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Iron acquisition from Fe-pyoverdine by Arabidopsis thaliana.

2007

Taking into account the strong iron competition in the rhizosphere and the high affinity of pyoverdines for Fe(III), these molecules are expected to interfere with the iron nutrition of plants, as they do with rhizospheric microbes. The impact of Fe-pyoverdine on iron content of Arabidopsis thaliana was compared with that of Fe-EDTA. Iron chelated to pyoverdine was incorporated in a more efficient way than when chelated to EDTA, leading to increased plant growth of the wild type. A transgenic line of A. thaliana overexpressing ferritin showed a higher iron content than the wild type when supplemented with Fe-EDTA but a lower iron content when supplemented with Fe-pyoverdine despite its inc…

0106 biological sciencesChlorophyll[ SDV.BV ] Life Sciences [q-bio]/Vegetal BiologyFMN ReductasePhysiologyIronArabidopsisReductasePseudomonas fluorescens01 natural sciencesPlant Roots03 medical and health scienceschemistry.chemical_compoundFMN reductaseArabidopsis thaliana[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyChelationRELATION PLANTE-MICROORGANISMECation Transport ProteinsEdetic Acid030304 developmental biology0303 health sciencesPyoverdinebiologyArabidopsis ProteinsACLWild typeARABIDOPSIS THALIANAGeneral Medicinebiology.organism_classificationPlants Genetically ModifiedFerritinchemistryBiochemistryChlorophyllFerritinsbiology.proteinAgronomy and Crop ScienceOligopeptides010606 plant biology & botany
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Molecular parameters involved in bee-plant relationships: a biological and chemical approach

1987

Abstract Honeybee-plant relationships are based on a conditioning process in which olfactory (plant aroma) and gustatory cues (mainly nectars) are closely linked, leading to a selective foraging behaviour. Among crops dependent upon entomophilous cross-pollination, the sunflower has recently undergone extensive expansion due to hybrid variety selection. Sunflower hybrid seed production is strictly dependent upon pollinating insects, mainly the honeybees, but foragers may have preferences among the parental lines, leading to a lack of pollen carriage and consequently to a decrease of hybrid seed yield. In order to define the role of plant chemicals (aromas, nectars) involved in the pollinati…

0106 biological sciencesChromatography GasPollinationGenotypeForagingBiologymedicine.disease_cause01 natural sciencesBiochemistryConditioning process03 medical and health sciencesRELATION PLANTE INSECTEPollenHelianthus annuusBotanymedicine[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular BiologyNectarAnimals[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyPlant Physiological PhenomenaComputingMilieux_MISCELLANEOUS030304 developmental biology0303 health sciencesBehavior AnimalBIOLOGIEGeneral MedicineCHIMIE15. Life on landBeesSunflowerHybrid seedSmell010602 entomologyTasteOdorantsPollenCues
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The genome sequencing of an albino Western lowland gorilla reveals inbreeding in the wild

2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License.-- et al.

0106 biological sciencesConservation geneticsMalegenotype phenotype correlationGorillaComputingMilieux_LEGALASPECTSOFCOMPUTINGarginineGenoma humà01 natural sciencesOculocutaneous albinism type 4single nucleotide polymorphismAlbinismegenetic variabilityGorillaInbreedinggenetic conservationGenetics0303 health sciencesGenomebiologyarticlecopy number variationHigh-Throughput Nucleotide SequencingSLC45A2 geneGenomicszygosityOculocutaneous albinismFloquet de neu (Goril·la)AlbinismFemaleBiotechnologyamino acid substitutionResearch ArticleSLC45A2Gorilla gorilla gorillaHeterozygoteAlbinismMolecular Sequence Datacomparative genomic hybridizationgene sequenceConservation010603 evolutionary biology03 medical and health sciencesWestern lowland gorillabiology.animalmedicineGeneticsheterozygosityAnimalsAmino Acid Sequencegene030304 developmental biologygene identificationWhole genome sequencingnonhumanGorilla gorillaMembrane Transport ProteinsSequence Analysis DNA15. Life on landbiology.organism_classificationmedicine.diseaseGenòmicaData_GENERALMutationbiology.proteinGenèticaoculocutaneous albinismglycineMicrosatellite RepeatsBMC Genomics
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A nondestructive intelligent approach to real‐time evaluation of chicken meat freshness based on computer vision technique

2019

In this study, the capability of a procedure based on combination of computer vision (CV) and artificial intelligence techniques examined for intelligent and nondestructive prediction of chicken meat freshness during the spoilage process at 4°C. The proposed system comprises the following stages: capture images, image preprocessing, image processing, computing channels, feature extraction, feature selection by a hybrid of genetic algorithm (GA) and artificial neuronal network (ANN), and prediction by using ANN. The number of neurons in input layer was determined 33 (selected features) and freshness used as the output. The ideal ANN model was obtained with 33‐10‐1 topology. The high performa…

0106 biological sciencesCorrelation coefficientbusiness.industryComputer scienceGeneral Chemical Engineeringmedia_common.quotation_subjectFeature extractionProcess (computing)Image processingFeature selection04 agricultural and veterinary sciences040401 food science01 natural sciences0404 agricultural biotechnology010608 biotechnologyGenetic algorithmPreprocessorQuality (business)Computer visionArtificial intelligencebusinessFood Sciencemedia_commonJournal of Food Process Engineering
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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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Disintegration of Italian rural landscapes to international environmental agreements

2015

In Italy, the first law that puts landscape and historical buildings under public control was implemented in 1922. While this represents a significant achievement for those times, for that law landscape essentially has an historical and aesthetic connotation, without any explicit reference to the components of flora, fauna and geology. Today, many protection policies and initiatives are still biased by the lack of reference to the intrinsic value that biodiversity and ecosystem services have for the maintenance of traditional landscapes, as well as for the survival of the human species. The priority accorded to historical and aesthetic values can lead to a lack of attention to the complex r…

0106 biological sciencesEconomics and EconometricsLandscape protection Agriculture Ecosystems Biodiversity Regional planning SEA Inland areasSettore ICAR/20 - Tecnica E Pianificazione Urbanisticabusiness.industryProcess (engineering)Survival of the fittestEnvironmental resource management010501 environmental sciencesSettore ICAR/21 - Urbanistica010603 evolutionary biology01 natural sciencesEcosystem servicesWork (electrical)AgriculturePolitical Science and International RelationsRegional planningSettore BIO/03 - Botanica Ambientale E ApplicataStrategic environmental assessmentbusinessLaw0105 earth and related environmental sciencesConnotation
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