Search results for "Zed"

showing 10 items of 5581 documents

Four-Year Study on the Bio-Agronomic Response of Biotypes of Capparis spinosa L. on the Island of Linosa (Italy)

2021

The caper plant is widespread in Sicily (Italy) both wild in natural habitats and as specialized crops, showing considerable morphological variation. However, although contributing to a thriving market, innovation in caper cropping is low. The aim of the study was to evaluate agronomic and production behavior of some biotypes of Capparis spinosa L. subsp. rupestris, identified on the Island of Linosa (Italy) for growing purposes. Two years and seven biotypes of the species were tested in a randomized complete block design. The main morphological and production parameters were determined. Phenological stages were also observed. Analysis of variance showed high variability between the biotype…

0106 biological sciencesHigh variabilityMorphological variationRandomized block designPlant ScienceBiology010603 evolutionary biology01 natural sciencesmorphological and productive characteristicsfoodgrowingmorphological and productive characteristiclcsh:Agriculture (General)caper plantBudPhenologyCapparis spinosaSowinglcsh:S1-972food.foodSettore AGR/02 - Agronomia E Coltivazioni ErbaceeHorticultureisland of LinosaHabitatAgronomy and Crop Science010606 plant biology & botanyFood ScienceAgriculture
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European Vegetation Archive (EVA): an integrated database of European vegetation plots

2015

Biurrun, Idoia/0000-0002-1454-0433; Rojo, Maria Pilar Rodriguez/0000-0001-5449-9386; Ermakov, Nikolai/0000-0001-7550-990X; De Sanctis, Michele/0000-0002-7280-6199; Svenning, Jens-Christian/0000-0002-3415-0862; Virtanen, Risto/0000-0002-8295-8217; Agrillo, Emiliano/0000-0003-2346-8346; Onyshchenko, Viktor/0000-0001-9079-7241; Marceno, Corrado/0000-0003-4361-5200; Willner, Wolfgang/0000-0003-1591-8386; Fernandez-Gonzalez, Federico/0000-0003-1234-4065; Jansen, Florian/0000-0002-0331-5185; Swacha, Grzegorz/0000-0002-6380-2954; Dengler, Jurgen/0000-0003-3221-660X; Guarino, Riccardo/0000-0003-0106-9416; Sopotlieva, Desislava/0000-0002-9281-7039; Venanzoni, Roberto/0000-0002-7768-0468; Chytry, Mil…

0106 biological sciencesInternational Association for Vegetation ScienceBos- en LandschapsecologieEcoinformatic01 natural sciencesEcoinformaticsForest and Landscape EcologyVegetacióEcologyEcologyEnvironmental resource managementPE&RCVegetation plotEuropeCentralized databaseGeographyCartografia de la vegetacióPlantenecologie en NatuurbeheerVegetatie Bos- en Landschapsecologiemedicine.symptomGeographic coordinate systemEuropaRelevePlant Ecology and Nature ConservationEuropean Vegetation SurveyManagement Monitoring Policy and LawBiodiversity informatics010603 evolutionary biologyPlot (graphics)Biodiversity informaticsRelevéDatabaseEcoinformaticsPhytosociological dataBiodiversity informatics; Database; Ecoinformatics; European Vegetation Survey; International Association for Vegetation Science; Phytosociological data; Relevé; Vegetation database; Vegetation plotmedicinebiodiversity informatics; database; ecoinformatics; european vegetation survey; international association for vegetation science; phytosociological data; relevé; vegetation database; vegetation plot; ecology; nature and landscape conservation; management; monitoring; policy and lawVegetatieNature and Landscape ConservationVegetation mappingVegetationbusiness.industry15. Life on landDefensieTaxonVegetation databaseBiodiversity informaticIntegrated databaseVegetation Forest and Landscape EcologybusinessVegetation (pathology)010606 plant biology & botany
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Notulae to the Italian flora of algae, bryophytes, fungi and lichens: 2

2016

In this contribution, new data concerning red algae, lichens and bryophytes of the Italian flora are presented. It includes new records and confirmations for the algal genus Grateloupia, the bryophyte genus Didymodon, and the lichen genera Buellia, Cladonia, Letharia, Pertusaria, and Pyrenula.

0106 biological sciencesLichenized ascomyceteFlorabiologyEcology010604 marine biology & hydrobiologyPlant Sciencebiology.organism_classification01 natural sciencesRhodophyceaeBryidaelcsh:QK1-989Bryidae floristic data lichenized ascomycetes Rhodophyceaefloristic dataAlgaelcsh:BotanyBotanylichenized ascomycetesLichenEcology Evolution Behavior and Systematics010606 plant biology & botanyItalian Botanist
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Predictive distribution models of European hake in the south-central Mediterranean Sea

2017

The effective management and conservation of fishery resources requires knowledge of their spatial distribution and notably of their critical life history stages. Predictive modelling of the European hake (Merluccius merluccius L., 1758) distribution was developed in the south-central Mediterranean Sea by means of historical fisheries-independent databases available in the region. The study area included the international waters of the south-central Mediterranean Sea and the territorial waters of Italy, Malta, Tunisia and Libya. Distribution maps of predicted population abundance index, and probabilistic occurrence of recruits and large adults were obtained by means of generalized additive …

0106 biological sciencesMediterranean climateGeneralized additive modelAquatic ScienceSpatial distribution010603 evolutionary biology01 natural sciencesGeneralized additive modelsSeafloor geophysical featureMediterranean seaHakeSeafloor geophysical featuresMerluccius merlucciusSpecies distribution modelling14. Life underwaterLarge adults habitatSettore MAT/07 - Fisica Matematicabiology010604 marine biology & hydrobiologyGeneralized additive modelMerluccius merlucciusbiology.organism_classificationRecruits habitatEnvironmental niche modellingFisheryStrait of SicilyGeographyMerluccius merlucciuPredictive modelling
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Efficient estimation of generalized linear latent variable models.

2019

Generalized linear latent variable models (GLLVM) are popular tools for modeling multivariate, correlated responses. Such data are often encountered, for instance, in ecological studies, where presence-absences, counts, or biomass of interacting species are collected from a set of sites. Until very recently, the main challenge in fitting GLLVMs has been the lack of computationally efficient estimation methods. For likelihood based estimation, several closed form approximations for the marginal likelihood of GLLVMs have been proposed, but their efficient implementations have been lacking in the literature. To fill this gap, we show in this paper how to obtain computationally convenient estim…

0106 biological sciencesMultivariate statisticsMultivariate analysisComputer scienceBinomials01 natural sciencesPolynomials010104 statistics & probabilityAmoebastilastolliset mallitestimointiProtozoansLikelihood FunctionsMultidisciplinaryApproximation MethodsStatistical ModelsSimulation and ModelingApplied MathematicsStatisticsQLinear modelREukaryotaLaplace's methodData Interpretation StatisticalPhysical SciencesVertebratesMedicineAlgorithmAlgorithmsResearch ArticleOptimizationScienceLatent variableResearch and Analysis Methods010603 evolutionary biologygeneralized linear latent variable modelsSet (abstract data type)BirdsAnimalsComputer Simulation0101 mathematicsta112OrganismsBiology and Life SciencesStatistical modelMarginal likelihoodAlgebraAmniotesMultivariate AnalysisLinear ModelsMathematicsSoftwarePLoS ONE
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Spatial segregation and realized niche shift during the parallel invasion of two olive subspecies in south-eastern Australia.

2015

12 pages; International audience; AimGreater understanding of the processes underlying biological invasions is required to determine and predict invasion risk. Two subspecies of olive (Olea europaea subsp. europaea and Olea europaea subsp. cuspidata) have been introduced into Australia from the Mediterranean Basin and southern Africa during the 19th century. Our aim was to determine to what extent the native environmental niches of these two olive subspecies explain the current spatial segregation of the subspecies in their non-native range. We also assessed whether niche shifts had occurred in the non-native range, and examined whether invasion was associated with increased or decreased oc…

0106 biological sciencesOccupancyNichebiological invasionsBiologySubspeciesSpatial distribution010603 evolutionary biology01 natural sciences[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsRealized niche widthOlea europaeaEcology Evolution Behavior and SystematicsEcological niche[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyEcologyEcology010604 marine biology & hydrobiologyNiche differentiationAustraliaNiche segregation15. Life on land[ SDV.EE.ECO ] Life Sciences [q-bio]/Ecology environment/Ecosystemssouthern Africaecological niche modellingMediterranean Basin[SDE.BE]Environmental Sciences/Biodiversity and Ecologyniche shift
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Risk of predation makes foragers less choosy about their food.

2017

18 pages; International audience; Animals foraging in the wild have to balance speed of decision making and accuracy of assessment of a food item's quality. If resource quality is important for maximizing fitness, then the duration of decision making may be in conflict with other crucial and time consuming tasks, such as anti-predator behaviours or competition monitoring. Individuals facing the risk of predation and/or competition should adjust the duration of decision making and, as a consequence, their level of choosiness for resources. When exposed to predation, the forager could either maintain its level of choosiness for food items but accept a reduction in the amount of food items con…

0106 biological sciencesPhysiologylcsh:MedicinePredationSocial SciencesKaplan-Meier EstimateChoice Behavior01 natural sciencesPredationCognitionMathematical and Statistical TechniquesBeetlesMedicine and Health Sciences[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisPsychologyForagingDecision-makinglcsh:Sciencemedia_common2. Zero hungerMultidisciplinaryEcologyAnimal BehaviorEcology05 social sciencesEukaryotaPlantsTrophic InteractionsInsectsCommunity EcologyPhysical SciencesSeedsStatistics (Mathematics)Research ArticleRiskOpportunity costArthropodaMovementmedia_common.quotation_subjectDecision MakingForagingBiologyResearch and Analysis Methods010603 evolutionary biologyIntraspecific competitionCompetition (biology)Food PreferencesAnimals0501 psychology and cognitive sciencesQuality (business)050102 behavioral science & comparative psychologyStatistical MethodsBehavior[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologylcsh:REcology and Environmental SciencesCognitive PsychologyFood ConsumptionOrganismsBiology and Life SciencesInterspecific competitionInvertebratesFoodPredatory BehaviorCognitive Sciencelcsh:QWeeds[SDE.BE]Environmental Sciences/Biodiversity and EcologyPhysiological ProcessesZoologyMathematicsNeuroscienceGeneralized Linear ModelDemography[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Assessing the importance of nursery areas of European hake (Merluccius merluccius) using a body condition index

2017

Abstract In this study, we analysed the variability of reserve storage in juvenile European hake (Merluccius merluccius) off the western coasts of Italy (Central Mediterranean Sea). Reserve storage was measured by the hepatosomatic index (HSI), in relation to environmental and population covariates. HSI has been proved to be a consistent measure of energy storage in gadoids, thus reflecting quantity and quality of food availability for growth. Generalized Additive Models for Location, Scale and Shape (GAMLSS) were used to model the effect of depth, bottom temperature, bottom currents, fish density and fish body size on HSI of juvenile European hake. The results revealed that reserve storage…

0106 biological sciencesSettore BIO/07 - Ecologiadecision sciences (all)nursery grounds010504 meteorology & atmospheric sciencesmedia_common.quotation_subjectPopulationGeneral Decision Sciences01 natural sciencesecology evolution behavior and systematicsCompetition (biology)Mediterranean seahabitat qualityHakeEuropean hake; habitat quality; hepatosomatic index; Mediterranean sea; nursery grounds; recruitment; decision sciences (all); ecology evolution behavior and systematics; ecologyJuvenile14. Life underwaterSettore SECS-S/05 - Statistica SocialeeducationEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesmedia_commonEuropean hakeeducation.field_of_studybiologyEcology010604 marine biology & hydrobiologyGeneralized additive modelMerluccius merlucciusNursery groundbiology.organism_classificationEcology Evolution Behavior and SystematicFisheryHabitatrecruitmentMediterranean seaEnvironmental sciencehepatosomatic indexecology
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Descriptors of Posidonia oceanica meadows: Use and application

2005

This work benefited partly from the financial support of the European program ΓNTERREG IIIA Corsica, Sardinia. Tuscany

0106 biological sciencesStandardizationProcess (engineering)Computer sciencemedia_common.quotation_subjectGeneral Decision SciencesDistribution (economics)Coastal biodiversity conservation010501 environmental sciences01 natural scienceslimits; advantages; mediterranean sea; bioindicator; posidonia oceanica; standardized methodsLittoral zoneQuality (business)14. Life underwaterMarine ecosystem managementEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesmedia_commonValuation (finance)Indicators (Biology)Ecologybiologybusiness.industryEcology010604 marine biology & hydrobiologyScale (chemistry)Environmental resource managementPosidonia oceanica15. Life on landbiology.organism_classificationPosidonia oceanicaPosidonia oceanica Mediterranean sea Bioindicator Standardized methods Advantages Limitsbusiness
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Interannual memory effects for spring NDVI in semi-arid South Africa

2008

[1] Almost 20 years of Normalized Difference Vegetative Index (NDVI) and precipitation (PPT) data are analysed to better understand the interannual memory effects on vegetation dynamics observed at regional scales in Southern Africa (SA). The study focuses on a semi-arid region (25°S–31°S; 21°E–26°E) during the austral early summer (September–December). The memory effects are examined using simple statistical approaches (linear correlations and regressions) which require the definition of an early summer vegetation predictand (December NDVI minus September NDVI) and a consistent set of potential predictors (rainfall amount, number of rainy days, rainfall intensity, NDVI and Rain-Use-Efficie…

0106 biological sciences[ SDU.OCEAN ] Sciences of the Universe [physics]/Ocean Atmosphere010504 meteorology & atmospheric sciencesPluieSummerrainfallspringsLand cover010603 evolutionary biology01 natural sciencesNormalized Difference Vegetation IndexVegetation dynamicsSouth AfricaOccupation solland covervegetationSpring (hydrology)Regional scopePrecipitation0105 earth and related environmental sciencesEfficacitéRégressiongeographygeography.geographical_feature_categorySpring seasonVegetationVégétation15. Life on landVegetation dynamicsAridatmospheric precipitationCorrélationPrédicteurIntensitéGeophysicsefficiency13. Climate actioncorrelationEtéClimatologyAfricaGeneral Earth and Planetary SciencesEnvironmental scienceregressionSemi arid zoneSpring(season)intensitySouthern AfricaPredictor
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