Search results for "Ocean Temperature"

showing 4 items of 4 documents

Shift in Tuna Catches due to Ocean Warming.

2017

Ocean warming is already affecting global fisheries with an increasing dominance of catches of warmer water species at higher latitudes and lower catches of tropical and subtropical species in the tropics. Tuna distributions are highly conditioned by sea temperature, for this reason and their worldwide distribution, their populations may be a good indicator of the effect of climate change on global fisheries. This study shows the shift of tuna catches in subtropical latitudes on a global scale. From 1965 to 2011, the percentage of tropical tuna in longliner catches exhibited a significantly increasing trend in a study area that included subtropical regions of the Atlantic and western Pacifi…

0106 biological sciencesTime Factors010504 meteorology & atmospheric sciencesEffects of global warming on oceanslcsh:MedicineMarine and Aquatic SciencesOceanographyGlobal Warming01 natural sciencesOceansTropical climateClimate changeZoologíaPesqueríaslcsh:ScienceIndian OceanNorthern HemisphereLatitudeMultidisciplinaryGeographyFishesTemperatureAgricultureOsteichthyesVertebratesResearch ArticleCartographyOceans and SeasFisheriesClimate changeSede Central IEOSubtropicsAnimalsVulnerability of tropical countries to climate change14. Life underwaterOcean TemperatureTropical tuna distribution0105 earth and related environmental sciencesTropical ClimatePacific OceanTuna010604 marine biology & hydrobiologylcsh:RGlobal warmingOrganismsBiology and Life SciencesTropicsNumerical Analysis Computer-AssistedBodies of WaterModels TheoreticalFisherySea surface temperatureEffect on fisheries13. Climate actionEarth SciencesEnvironmental sciencelcsh:QTunaGeographic areas
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Disentangling conditional effects of multiple regime shifts on Atlantic cod productivity

2020

AbstractRegime shifts are increasingly prevalent in the ecological literature. However, definitions vary, and many detection methods are subjective. Here, we employ an operationally objective means of identifying regime shifts, using a Bayesian online change-point detection algorithm able to simultaneously identify shifts in the mean and(or) variance of time series data. We detected multiple regime shifts in long-term (59-154 years) patterns of coastal Norwegian Atlantic cod (>70% decline) and putative drivers of cod productivity: North Atlantic Oscillation (NAO); sea-surface temperature; zooplankton abundance; fishing mortality (F). The consequences of an environmental or climate-relate…

Sexual Reproduction0106 biological sciencesliikakalastusClimatePopulation DynamicsMarine and Aquatic SciencesAquacultureOceanography01 natural sciencesturskaAbundance (ecology)Regime shiftAtlantic OceanMultidisciplinarybiologyQTemperatureREukaryotaAgriculturePlanktonOceanographyGadus morhuaProductivity (ecology)OsteichthyesVertebratesPhysical SciencesMedicineResearch ArticleSpawningDeath RatesFish BiologyympäristötekijätClimate ChangeScienceFishingModes of ReproductionFisheriesClimate changeCod010603 evolutionary biologyZooplanktonZooplanktonPopulation MetricsAnimalsMarine ecosystem14. Life underwaterOcean TemperatureEcosystemPopulation Biologybayesilainen menetelmäkalakannat010604 marine biology & hydrobiologyOrganismsBiology and Life SciencesBayes TheoremilmastonmuutoksetProbability TheoryProbability Distributionbiology.organism_classificationInvertebratesaikasarja-analyysiFishNorth Atlantic oscillationEarth ScienceskannanvaihtelutEnvironmental scienceAtlantic codZoologyMathematicsDevelopmental BiologyVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480PLOS ONE
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Paleoceanography of the Late Cretaceous northwestern Tethys Ocean: Seasonal upwelling or steady thermocline?

2020

In this study we attempted to assess whether seasonal upwelling or a steady thermocline persisted at the western margin of the Tethys Ocean during the late Turonian-early Coniacian interval. For this scope, we employed novel and published stable oxygen isotope (δ18O) data of various organisms (bivalves, bivalves, brachiopods, fish and belemnites). New seasonally resolved temperature estimates were based on the δ18O record of sequentially sampled inoceramid (Inoceramus sp.) and rudist (Hippurites resectus) shells from the Scaglia Rossa and Gosau deposits of northern Italy and western Austria, respectively. Diagenetic screening was performed using reflected light, cathodoluminescence (CL), sc…

Atmospheric ScienceComposite Particles010504 meteorology & atmospheric sciencesMarine and Aquatic SciencesOxygen IsotopesOceanography010502 geochemistry & geophysics01 natural sciencesIsotopesClimatologyCretaceous PeriodMultidisciplinarybiologyPhysicsStable IsotopesQRTemperatureEukaryotaGeologyCretaceousOceanographyPhysical SciencesMedicineMesozoic EraSeasonsPaleotemperatureGeologyResearch ArticleShallow WaterInoceramusBivalvesAtomsWater massScienceOceans and SeasPaleoenvironmentsPaleoceanographyAnimalsPaleoclimatologyParticle PhysicsOcean Temperature0105 earth and related environmental sciencesOrganismsPaleontologyWaterBiology and Life SciencesGeologic TimeMolluscsTethys Oceanbiology.organism_classificationInvertebratesBivalviaWaves and shallow waterEarth SciencesUpwellingHydrologyZoologyThermoclinePLOS ONE
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Predicting dengue fever outbreaks in French Guiana using climate indicators

2016

Background Dengue fever epidemic dynamics are driven by complex interactions between hosts, vectors and viruses. Associations between climate and dengue have been studied around the world, but the results have shown that the impact of the climate can vary widely from one study site to another. In French Guiana, climate-based models are not available to assist in developing an early warning system. This study aims to evaluate the potential of using oceanic and atmospheric conditions to help predict dengue fever outbreaks in French Guiana. Methodology/Principal Findings Lagged correlations and composite analyses were performed to identify the climatic conditions that characterized a typical e…

Atmospheric ScienceViral DiseasesEl Niño-Southern OscillationEpidemiologyClimateRainMarine and Aquatic SciencesLogistic regressionOceanographyDengue feverDisease OutbreaksDengue FeverDengue0302 clinical medicine[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseasesOceansMedicine and Health Sciences030212 general & internal medicineClimatology[SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseasesEcologylcsh:Public aspects of medicine3. Good healthFrench Guiana[ SDV.MHEP.MI ] Life Sciences [q-bio]/Human health and pathology/Infectious diseases[ SDE.MCG ] Environmental Sciences/Global ChangesGeographyInfectious Diseases[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyEpidemiological Methods and StatisticsEquatorial Ocean RegionsSeasons[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyOceans Ocean temperature Seasons El Niño-Southern Oscillation Rain Dengue fever Epidemiology Equatorial ocean regionsResearch ArticleNeglected Tropical Diseasesmedicine.medical_specialtylcsh:Arctic medicine. Tropical medicinelcsh:RC955-962[SDE.MCG]Environmental Sciences/Global Changes030231 tropical medicine03 medical and health sciencesMeteorologyEnvironmental healthmedicineHumansOcean TemperatureAzores HighModels StatisticalPublic healthPublic Health Environmental and Occupational HealthOutbreaklcsh:RA1-1270Bodies of Watermedicine.diseaseTropical DiseasesSea surface temperature13. Climate actionEarth SciencesEarly warning systemClimate model[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieEpidemiologic MethodsForecastingClimate Modeling
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