Search results for " pattern"

showing 10 items of 2245 documents

Sclerochronology - a highly versatile tool for mariculture and reconstruction of life history traits of the queen conch, Strombus gigas (Gastropoda)

2009

International audience; The queen conch, Strombus gigas, is an important fisheries resource in the Western Tropical Atlantic. In order to maintain harvesting success, improve fisheries management and contribute to mariculture pursuits, a detailed understanding of the life history traits of this species is required. Traditionally, this has been achieved by tedious and time-consuming long-term field observations. This study presents a highly versatile and rapid technique to estimate the timing and rate of shell growth based on sclerochronology. The Belizean S. gigas specimens (N = 2) from the offshore atoll, Glovers Reef, reached their final shell size (maximum shell height: 22.7 and 23.5 cm,…

0106 biological sciencesQueen conch010504 meteorology & atmospheric sciencesAtollAquatic Science01 natural sciencesConchSclerochronologyGastropoda14. Life underwaterMolluscaReef0105 earth and related environmental sciencesStable isotopesgeographygeography.geographical_feature_categorybiologyWhorl (mollusc)010604 marine biology & hydrobiologyShellfisheries managementGrowth patternsLife history traitsbiology.organism_classificationOceanographyStrombus[SDE]Environmental Sciences
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Modeling Environmental Influences in the Psyllaephagus bliteus (Hymenoptera: Encyrtidae)-Glycaspis brimblecombei (Hemiptera: Aphalaridae) Parasitoid-…

2017

Glycaspis brimblecombei Moore (Hemiptera: Aphalaridae) is an invasive psyllid introduced into the Mediterranean area, where it affects several species of Eucalyptus. Psyllaephagus bliteus Riek (Hymenoptera: Encyrtidae) is a specialized parasitoid of this psyllid that was accidentally introduced into Italy in 2011. We developed a model of this host–parasitoid system that accounts for the influence of environmental conditions on the G. brimblecombei population dynamics and P. bliteus parasitism rates in the natural ecosystem. The Lotka–Volterra-based model predicts non-constant host growth and parasitoid mortality rates in association with variation in environmental conditions. The model was …

0106 biological sciencesRainPopulationPopulation Dynamicsassociated parasitoidParasitismHymenoptera01 natural sciencesPopulation densitylerp psyllidModels Biologicallerp psyllid; associated parasitoid; red gum plantationParasitoidHost-Parasite InteractionsHemipteraEncyrtidaered gum plantationtemperature-rain patternAnimalseducationEcosystemeducation.field_of_studydynamicEucalyptusEcologybiologyEcologyHost (biology)Temperaturelerp psyllid associated parasitoid red gum plantation dynamic temperature-rain patternGeneral Medicinebiology.organism_classificationHymenopteraAphalaridae010602 entomologySettore AGR/11 - Entomologia Generale E ApplicataItalyInsect ScienceIntroduced Species010606 plant biology & botanyJournal of economic entomology
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Impact of vector dispersal and host-plant fidelity on the dissemination of an emerging plant pathogen

2012

International audience; Dissemination of vector-transmitted pathogens depend on the survival and dispersal of the vector and the vector's ability to transmit the pathogen, while the host range of vector and pathogen determine the breath of transmission possibilities. In this study, we address how the interaction between dispersal and plant fidelities of a pathogen (stolbur phytoplasma tuf-a) and its vector (Hyalesthes obsoletus: Cixiidae) affect the emergence of the pathogen. Using genetic markers, we analysed the geographic origin and range expansion of both organisms in Western Europe and, specifically, whether the pathogen's dissemination in the northern range is caused by resident vecto…

0106 biological sciencesRange (biology)Population DynamicsPopulation geneticslcsh:Medicine01 natural sciencessanté des plantesphytoplasme du stolburPhyletic PatternsVitisUrtica dioicahyalesthes obsoletuslcsh:SciencePathogenpathologie végétalePhylogenybactérie0303 health sciencesMultidisciplinaryEcologyEcologystolburUrtica dioicaAgricultureBiodiversityHost-Pathogen InteractionPhytoplasmaépidémiologieinsecte vecteuragent pathogèneResearch ArticleDNA BacterialGenetic MarkersPhytoplasmaEvolutionary ProcessesPhytopathology and phytopharmacyEmergenceBiologyDNA MitochondrialMicrobiologyVector Biology03 medical and health sciencesmollicute phytopathogèneIntegrated ControlintéractionEvolutionary SystematicsParasite EvolutionBiologyHybridizationMicrobial Pathogens030304 developmental biologyPlant DiseasesEvolutionary BiologyPopulation BiologyHost (biology)lcsh:Rtransmission de la maladiebiology.organism_classificationPhytopathologie et phytopharmacievariation génétiqueOrganismal Evolution[SDV.BV.PEP]Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacyEmerging Infectious DiseasesVector (epidemiology)Microbial EvolutionBiological dispersallcsh:QParasitologyPest ControlPopulation EcologyZoologyEntomologyPopulation Genetics010606 plant biology & botanyCoevolution
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Glycymeris pilosa (Bivalvia) - A high-potential geochemical archive of the environmental variability in the Adriatic Sea.

2019

Due to its outstanding longevity (decades), the shallow-water bivalve Glycmeris pilosa represents a prime target for sclerochronological research in the Mediterranean Sea. In the present study, we analyzed the microgrowth patterns and the stable carbon (δ13Cshell) and oxygen (δ18Oshell) isotopes of the outer shell layer of live-collected G. pilosa specimens from four different sites along the Croatian coast, middle Adriatic Sea. Combined analysis of shell growth patterns and temporally aligned δ18Oshell data indicated that the main growing season lasts from April to December, with fastest growth rates occurring during July and August when seawater temperatures exceeded 22 °C. Slow growth in…

0106 biological sciencesSalinityPilosaGrowing seasonAquatic ScienceOceanography010603 evolutionary biology01 natural sciencesMediterranean seaMediterranean SeaAnimalsSeawaterbiologyCold season010604 marine biology & hydrobiologyGeneral MedicineBivalviabiology.organism_classificationPollutionSlow growthBivalviaOceanographyEnvironmental scienceSeawaterSeasonsGlycymeris pilosaBivalve sclerochronology ; Mutvei solution ; Growth patterns ; Annual growth line ; Stable oxygen and carbon isotopes ; Mediterranean seaEnvironmental MonitoringMarine environmental research
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Fish assemblages cope with ocean acidification in a shallow volcanic CO2 vent benefiting from an adjacent recovery area

2020

Shallow CO2 vents are used to test ecological hypotheses about the effects of ocean acidification (OA). Here, we studied fish assemblages associated with Cymodocea nodosa meadows exposed to high pCO2/low pH conditions at a natural CO2 vent in the Mediterranean Sea. Using underwater visual census, we assessed fish community structure and biodiversity in a low pH site (close to the CO2 vent), a close control site and a far control site, hypothesising a decline in biodiversity and a homogenization of fish assemblages under OA conditions. Our findings revealed that fish diversity did not show a unique spatial pattern, or even significant relationships with pH, but correlated with seagrass leaf …

0106 biological sciencesSettore BIO/07 - EcologiaCymodocea nodosaBiodiversitySettore BIO/05 - ZoologiaJuvenileAquatic ScienceOceanography010603 evolutionary biology01 natural sciencesUnderwater visual censusMediterranean seaAbundance (ecology)CO2 seep14. Life underwaterCymodocea nodosabiologyEcologypH010604 marine biology & hydrobiologySeagraCommunity structureOcean acidificationGeneral MedicineBiodiversitybiology.organism_classificationPollutionCommunity structureSeagrassFishMediterranean seaEnvironmental scienceCommon spatial pattern
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GenExP, un logiciel simulateur de paysages agricoles pour l'étude de la diffusion de transgènes

2007

 ; The software GENEXP allows to simulate 2-dimensional agricultural landscapes by using a traditional algorithmic geometry. Based on real or realistic field-patterns, GENEXP provides multiannual maps of agricultural landscapes, which are used by softwares simulating the dispersal of GM pollen grains and seeds at various scales.; GENEXP est un simulateur de paysages agricoles qui engendre des découpages parcellaires en utilisant une géométrie algorithmique classique. GENEXP fournit, sur la base de parcellaires réels ou réalistes, des cartes pluriannuelles de paysages agricoles utilisables par des logiciels qui simulent la dispersion des pollens et des graines d'OGM à différentes échelles.

0106 biological sciences[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]010603 evolutionary biology01 natural sciencesVORONOÏ TESSELATION[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentAGRICULTURAL LANDSCAPE[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]diagrammes de Voronoi[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]DIAGRAMMES DE VORONOÏpaysage agricole[SDV.EE]Life Sciences [q-bio]/Ecology environmentFIELD PATTERN[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]voronoi tesselationPROCESSUS PONCTUEL MARKOVIEN04 agricultural and veterinary sciencesGeneral Medicineflux de genes15. Life on landsimulationPARCELLAIRE[SDV.EE] Life Sciences [q-bio]/Ecology environmentagricultural landscape field-pattern germs distribution markov point process gene flowpaysage agricole parcellaire simulation diagrammes de Voronoi distribution de germes processus ponctuel markovien flux de genes voronoi tesselation INFORMATIQUEGERMS DISTRIBUTIONINFORMATIQUE040103 agronomy & agricultureMARKOV POINT PROCESS0401 agriculture forestry and fisheriesfield-patterngene flowDISTRIBUTION DE GERMES
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Global patterns and drivers of alpine plant species richness

2021

B.J.-A. was funded by the Marie Curie Clarín-COFUND program of the Principality of Asturias-EU (ACB17-26) and the Spanish Research Agency (AEI/10.13039/501100011033).

0106 biological sciencesbiodiversity hotspot010504 meteorology & atmospheric sciencesAlpine plantglobal pattern[SDE.MCG]Environmental Sciences/Global Changes[SDV.BID]Life Sciences [q-bio]/Biodiversitybiogeographical history010603 evolutionary biology01 natural sciencesplant species richnessTemperate climateglobal patternsAlpine vegetation; biodiversity hotspots; biogeographical history; global patterns; multiscale analysis; plant species richnessEcosystemEcology Evolution Behavior and Systematicsbiodiversity hotspots0105 earth and related environmental sciences[SDV.EE]Life Sciences [q-bio]/Ecology environmentGlobal and Planetary ChangeEcologyEcologymultiscale analysimultiscale analysisVegetation15. Life on landBiodiversity hotspotTaxonGeographyRarefaction (ecology)Species richnessAlpine vegetation[SDE.BE]Environmental Sciences/Biodiversity and EcologyGlobal Ecology and Biogeography
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Wind effects on the migration routes of trans-Saharan soaring raptors: geographical, seasonal, and interspecific variation

2016

Wind is among the most important environmental factors shaping birds’ migration patterns. Birds must deal with the displacement caused by crosswinds and their behavior can vary according to different factors such as flight mode, migratory season, experience, and distance to goal areas. Here we analyze the relationship between wind and migratory movements of three raptor species which migrate by soaring–gliding flight: Egyptian vulture Neophron percnopterus, booted eagle Aquila pennata, and short-toed snake eagle Circaetus gallicus. We analyzed daily migratory segments (i.e., the path joining consecutive roosting locations) using data recorded by GPS satellite telemetry. Daily movements of E…

0106 biological sciencesmigration010603 evolutionary biology01 natural sciences010605 ornithologyLatitudesatellite telemetrybiology.animalNeophron percnopterusZoologíaBooted eagleMigrationVultureAquila pennatabiologyGlobal wind patternsEcologySatellite telemetrywind driftInterspecific competitionArticlesbiology.organism_classificationGeographyCircaetus gallicusNeophron percnopterusSatellite telemetryAnimal Science and ZoologyCircaetus gallicusWind driftCurrent Zoology
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Why aren't warning signals everywhere? : On the prevalence of aposematism and mimicry in communities

2021

Warning signals are a striking example of natural selection present in almost every ecological community - from Nordic meadows to tropical rainforests, defended prey species and their mimics ward off potential predators before they attack. Yet despite the wide distribution of warning signals, they are relatively scarce as a proportion of the total prey available, and more so in some biomes than others. Classically, warning signals are thought to be governed by positive density-dependent selection, i.e. they succeed better when they are more common. Therefore, after surmounting this initial barrier to their evolution, it is puzzling that they remain uncommon on the scale of the community. He…

0106 biological sciencesvaroitusväri570predator-prey interactionsFREQUENCY-DEPENDENT SELECTIONFrequency-dependent selectionPopulationBatesian mimicryAposematismMacroevolutionModels Biological010603 evolutionary biology01 natural sciencesRISK-TAKINGGeneral Biochemistry Genetics and Molecular BiologyMüllerian mimicryPredationANTIPREDATOR DEFENSES03 medical and health sciencesPrevalenceAnimalsaposematismecological nicheeducationMullerian mimicryBODY-SIZE030304 developmental biology0303 health scienceseducation.field_of_studyMüllerian mimicryEcologyBiological Mimicrymimikrypredator–prey interactionseliöyhteisötBiological EvolutionBatesian mimicrysaalistusekologinen lokeroCORAL-SNAKE PATTERNCHEMICAL DEFENSEGeographyCOLOR PATTERNPredatory Behavior1181 Ecology evolutionary biologyMimicrySHIFTING BALANCEGeneral Agricultural and Biological Sciencescommunity ecology
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A segmentation algorithm for noisy images

2005

International audience; This paper presents a segmentation algorithm for gray-level images and addresses issues related to its performance on noisy images. It formulates an image segmentation problem as a partition of a weighted image neighborhood hypergraph. To overcome the computational difficulty of directly solving this problem, a multilevel hypergraph partitioning has been used. To evaluate the algorithm, we have studied how noise affects the performance of the algorithm. The alpha-stable noise is considered and its effects on the algorithm are studied. Key words : graph, hypergraph, neighborhood hypergraph, multilevel hypergraph partitioning, image segmentation and noise removal.

020203 distributed computingHypergraphMathematics::Combinatorics[ INFO ] Computer Science [cs]Computer sciencebusiness.industrySegmentation-based object categorizationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationImage processing02 engineering and technologyImage segmentation[INFO] Computer Science [cs]020202 computer hardware & architectureComputer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)SegmentationComputer vision[INFO]Computer Science [cs]Artificial intelligencebusinessAlgorithmMathematicsofComputing_DISCRETEMATHEMATICS
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