Search results for "Univers"

showing 10 items of 6284 documents

Molecular phylogeny of the extinct giant deer, Megaloceros giganteus.

2006

a Centre de Genetique Moleculaire et Cellulaire (CGMC), CNRS UMR 5534, Universite Claude Bernard Lyon 1, Villeurbanne, France b Laboratoire d’Anthropologie des Populations du Passe, CNRS UMR 5199 PACEA, Universite Bordeaux 1, Talence, France c UCD School of Biology and Environmental Science, UCD, BelWeld, Dublin 4, Ireland d Laboratoire d’Ecologie des Hydrosystemes Fluviaux, CNRS UMR 5023, Universite Claude Bernard Lyon 1, Villeurbanne, France e Biogeosciences-Dijon, CNRS UMR 5561, Universite de Bourgogne, Centre des Sciences de la Terre, Dijon, France f Department of Palaeontology, Royal Belgian Institute of Natural Sciences, Brussels, Belgium g Department of Biology, University College Lo…

0106 biological sciencesTime FactorsMESH: GeographyMESH: Base Sequence[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomy01 natural sciencesMESH: FossilsMESH : BiodiversityMESH: AnimalsMESH: PhylogenyGiant deerPhylogenyComputingMilieux_MISCELLANEOUS[ SDU.STU.PG ] Sciences of the Universe [physics]/Earth Sciences/Paleontology0303 health sciencesbiologyAncient DNAGeographyEcologymtDNAFossils[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]MegalocerosMESH : GeographyClaude bernardBiodiversityMESH : Deer[ SDV.GEN.GPO ] Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE][SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/PaleontologyMESH : Time Factors[SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT]MESH: Deer010603 evolutionary biologyMESH: BiodiversityQuaternary03 medical and health sciencesGeneticsAnimals14. Life underwaterMolecular BiologyEcology Evolution Behavior and Systematics030304 developmental biologyBase SequenceDeerMESH: Time FactorsMESH : Phylogenybiology.organism_classificationMESH : FossilsMESH : Base SequenceMESH : AnimalsHumanities[ SDV.BID.SPT ] Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomy
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The flourishing diversity of models in theoretical morphology: from current practices to future macroevolutionary and bioenvironmental challenges.

2008

17 pages; International audience; For decades, theoretical morphological studies of different groups of organisms have been successfully pursued in biological, paleontological, and computational contexts, often with distinct modeling approaches and research questions. A regular influx of new perspectives and varied expertise has contributed to the emergence of a veritable multidisciplinary outlook for theoretical morphology. The broadening of this discipline is reflected in a substantial increase in the number of models, leading to a bewildering diversity that has yet to be scrutinized. In this work, we tackle this issue in a synthetic fashion, with a quantitativemeta-analysis that allows a…

0106 biological sciencesTypology010506 paleontologymedia_common.quotation_subjectAnalogy010603 evolutionary biology01 natural sciencesMultidisciplinary approachSimilarity (psychology)[SDV.BID.EVO] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]SociologySocial scienceEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesmedia_common[ SDU.STU.PG ] Sciences of the Universe [physics]/Earth Sciences/PaleontologyEcologyScope (project management)Flourishing[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]PaleontologyData science[ SDV.BID.EVO ] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Ordination[SDU.STU.PG] Sciences of the Universe [physics]/Earth Sciences/PaleontologyGeneral Agricultural and Biological Sciences[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/PaleontologyDiversity (politics)
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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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Climate vs grapevine pests and diseases worldwide: The first results of a global survey

2016

<p class="Abstract"><strong>Aim:</strong> This paper aimed to address the relationship between grapevine disease, pest occurrences and climate. The extremely large extension of viticulture worldwide offers the possibility to evaluate the impacts of climate variability on many aspects of the grape growing system. For this, we initiated a global survey to retrieve the most important diseases and pests in many grape growing regions worldwide and to identify the risk of exposure to pests and diseases of viticulture as a function of climate.</p><p class="Abstract"><strong>Methods and results:</strong> Based on the answer of respondent about the main repo…

0106 biological sciences[SDV]Life Sciences [q-bio][SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/AgronomyravageurGrowing seasonDistribution (economics)Climate changeDiseasesDiseaseHorticulture01 natural scienceslcsh:Agriculturevitis vinifera[ SDV.SA.AGRO ] Life Sciences [q-bio]/Agricultural sciences/Agronomylcsh:BotanyComputingMilieux_MISCELLANEOUSPhytosanitary certification2. Zero hungerchangement climatiqueEcologybusiness.industryAgroforestrylcsh:Sfood and beverages04 agricultural and veterinary sciences15. Life on landviticulturediseases;pests;viticulture;climate change;grapevinegrapevinelcsh:QK1-989[SDV] Life Sciences [q-bio]Geographyclimate change[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology13. Climate action[SDE]Environmental Sciences040103 agronomy & agriculture0401 agriculture forestry and fisheriesPEST analysis[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyViticulturevignebusinesspestsPowdery mildew010606 plant biology & botanyFood Science
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Vegetation structure and greenness in Central Africa from Modis multi-temporal data.

2013

African forests within the Congo Basin are generally mapped at regional scale as broad-leaved evergreen forests, with a main distinction between terra-firme and swamp forests types. At the same time, commercial forest inventories, as well as national maps, have highlighted a strong spatial heterogeneity of forest types. A detailed vegetation map generated using consistent methods is needed to inform decision makers about spatial forest organisation and theirs relationships with environmental drivers in the context of global change. We propose a multi-temporal remotely sensed data approach to characterize vegetation types using vegetation index annual profiles. The classifications identified…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28568Time Factors010504 meteorology & atmospheric sciencesDatabases FactualRainEcological Parameter Monitoringhttp://aims.fao.org/aos/agrovoc/c_900018001 natural sciencesTrees[ SDE ] Environmental Sciencesremote sensinghttp://aims.fao.org/aos/agrovoc/c_3062K01 - Foresterie - Considérations généralesDynamique des populationsForêt tropicale humidehttp://aims.fao.org/aos/agrovoc/c_6498http://aims.fao.org/aos/agrovoc/c_29008geography.geographical_feature_categoryCentral AfricaEcologyInventaire forestierVegetationArticlesClassificationSpatial heterogeneity[ SDE.MCG ] Environmental Sciences/Global ChangesDeciduoushttp://aims.fao.org/aos/agrovoc/c_7976CongoP31 - Levés et cartographie des solsForêt[SDE]Environmental SciencesSeasonshttp://aims.fao.org/aos/agrovoc/c_1432General Agricultural and Biological Scienceshttp://aims.fao.org/aos/agrovoc/c_34911Research ArticleF40 - Écologie végétaleTélédétectionClimate Change[SDE.MCG]Environmental Sciences/Global ChangesSpectroscopie infrarougeContext (language use)69Typologie010603 evolutionary biologySwampGeneral Biochemistry Genetics and Molecular BiologyCarbon Cycle[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environmentHumansAfrica Centralhttp://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_1344http://aims.fao.org/aos/agrovoc/c_8176[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmenthttp://aims.fao.org/aos/agrovoc/c_6111Ecosystem0105 earth and related environmental sciencesChangement climatiquegeographyCartographiehttp://aims.fao.org/aos/agrovoc/c_24174Enhanced vegetation index15. Life on landEvergreenVégétationStructure du peuplement13. Climate actionCouvert forestierPhysical geographyU30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_1653tropical rainforestTropical rainforest
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Chlorophyll a fluorescence illuminates a path connecting plant molecular biology to Earth-system science

2021

Remote sensing methods enable detection of solar-induced chlorophyll a fluorescence. However, to unleash the full potential of this signal, intensive cross-disciplinary work is required to harmonize biophysical and ecophysiological studies. For decades, the dynamic nature of chlorophyll a fluorescence (ChlaF) has provided insight into the biophysics and ecophysiology of the light reactions of photosynthesis from the subcellular to leaf scales. Recent advances in remote sensing methods enable detection of ChlaF induced by sunlight across a range of larger scales, from using instruments mounted on towers above plant canopies to Earth-orbiting satellites. This signal is referred to as solar-in…

0106 biological sciencesklorofylliChlorophyll a010504 meteorology & atmospheric sciencesEarth scienceEcology (disciplines)Plant Scienceekofysiologia01 natural sciencesFluorescencebiofysiikkayhteyttäminenchemistry.chemical_compoundLEAFLEAVESWATERPhotosynthesisCO2 ASSIMILATIONSCOTS PINE[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentMolecular Biology0105 earth and related environmental sciences[SDU.OCEAN]Sciences of the Universe [physics]/Ocean AtmosphereChlorophyll ASUN-INDUCED FLUORESCENCEfluoresenssiBiogeochemistrykasvillisuus15. Life on land11831 Plant biologyReflectivityREFLECTANCEPlant LeavesEarth system scienceddc:580RESOLUTIONchemistryPHOTOSYSTEM-I13. Climate actionRemote Sensing TechnologyEarth SciencessatelliittikuvausEnvironmental sciencekaukokartoitus010606 plant biology & botanyNature Plants
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Adaptive radiation in the fossil record: a case study among Jurassic ammonoids

2013

15 pages; International audience; Evolutionary radiations have been extensively studied especially in the fossil record and in the context of postcrisis recoveries. The concept of adaptive radiation that emerges from this very broad topic explicitly involves the effect of adaptation driven by ecological opportunity and is considered to be of the foremost importance. It is essential to be able to detect adaptive radiation because it points up factors that predispose a clade to radiate. Adaptive radiation has received much attention in recent decades based mostly on studies dealing with recent clades, but data from the fossil record are still scarce. This study begins to fill this gap with th…

0106 biological sciencesmacroevolution010506 paleontologyFossil RecordModern evolutionary synthesisPaleontologyContext (language use)JurassicBiologyMacroevolution010603 evolutionary biology01 natural sciencesPaleontologyammonoidsAdaptive radiationAdaptation[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/Paleontologyadaptive radiationCladeEcology Evolution Behavior and Systematics[ SDU.STU.PG ] Sciences of the Universe [physics]/Earth Sciences/Paleontology0105 earth and related environmental sciencesPalaeontology
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Honeybees prefer novel insect-pollinated flower shapes over bird-pollinated flower shapes

2019

AbstractPlant–pollinator interactions have a fundamental influence on flower evolution. Flower color signals are frequently tuned to the visual capabilities of important pollinators such as either bees or birds, but far less is known about whether flower shape influences the choices of pollinators. We tested European honeybee Apis mellifera preferences using novel achromatic (gray-scale) images of 12 insect-pollinated and 12 bird-pollinated native Australian flowers in Germany; thus, avoiding influences of color, odor, or prior experience. Independent bees were tested with a number of parameterized images specifically designed to assess preferences for size, shape, brightness, or the number…

0106 biological sciencesmedia_common.quotation_subjectInsectBiologybird-pollinated010603 evolutionary biology01 natural sciences[SCCO]Cognitive sciencepollinatorApis mellifera (European honeybee)PollinatorGuest Editor: David Baracchi Dipartimento di Biologia Università degli Studi di Firenze Italy0501 psychology and cognitive sciencesFloral symmetry050102 behavioral science & comparative psychologyinsect-pollinatedangiospermComputingMilieux_MISCELLANEOUSmedia_commonSpecial Column: Behavioural and Cognitive Plasticity in Foraging Pollinators[SCCO.NEUR]Cognitive science/Neuroscience[SDV.BA]Life Sciences [q-bio]/Animal biology05 social sciencesArticlesPreferenceflowerEvolutionary biologyColor preferences[SCCO.PSYC]Cognitive science/PsychologyAnimal Science and Zoology
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Specifications for carbonate content quantification in recent marine sediments using Rock-Eval pyrolysis

2019

11 pages; International audience; The amount of CaCO3 in sediments and/or sedimentary rocks is usually measured by calcimetry while the nature of the carbonates is determined by X-ray diffraction. Recently, a carbonate recognition method based on the results of Rock-Eval pyrolysis was proposed in 2014 by Pillot et al. [1]. Rock-Eval pyrolysis is also widely used for the characterization of recent sediments. However, later in 2015 Baudin et al. [2] noticed that some of the characteristics of recent sediments tended to produce different results from those of more classical Rock-Eval analyses, causing bias in interpretations.In this study, the thermal stability of fossil and recent marine carb…

020209 energyGeochemistrySalt (chemistry)Mineralogy[SDU.STU]Sciences of the Universe [physics]/Earth Sciences02 engineering and technologyAnalytical Chemistrychemistry.chemical_compound020401 chemical engineering[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry0202 electrical engineering electronic engineering information engineeringRecent sedimentsAcid attack0204 chemical engineeringChemical decompositionComputingMilieux_MISCELLANEOUSTotal organic carbonchemistry.chemical_classificationCalciteRock-EvalSedimentCarbonates decompositionFuel Technologychemistry13. Climate action[SDU.STU.ST]Sciences of the Universe [physics]/Earth Sciences/StratigraphyCarbonateSedimentary rockRock evalClay mineralsPyrolysisGeologyPyrolysis
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Periodic Controls in Step 2 Strictly Convex Sub-Finsler Problems

2020

We consider control-linear left-invariant time-optimal problems on step 2 Carnot groups with a strictly convex set of control parameters (in particular, sub-Finsler problems). We describe all Casimirs linear in momenta on the dual of the Lie algebra. In the case of rank 3 Lie groups we describe the symplectic foliation on the dual of the Lie algebra. On this basis we show that extremal controls are either constant or periodic. Some related results for other Carnot groups are presented. peerReviewed

0209 industrial biotechnologyPure mathematicsRank (linear algebra)variaatiolaskenta02 engineering and technology01 natural sciencesdifferentiaaligeometriaoptimal controlsymbols.namesake020901 industrial engineering & automationMathematics (miscellaneous)sub-Finsler geometryPontryagin maximum principleLie algebra0101 mathematicsMathematicsLie groups010102 general mathematicsLie groupBasis (universal algebra)matemaattinen optimointiFoliationsäätöteoriasymbolsCarnot cycleConvex functionSymplectic geometryRegular and Chaotic Dynamics
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