Search results for "IQ"

showing 10 items of 21401 documents

Experimental Introgression To Evaluate the Impact of Sex Specific Traits on Drosophila melanogaster Incipient Speciation

2019

AbstractSex specific traits are involved in speciation but it is difficult to determine whether their variation initiates or reinforces sexual isolation. In some insects, speciation depends of the rapid change of expression in desaturase genes coding for sex pheromones. Two closely related desaturase genes are involved in Drosophila melanogaster pheromonal communication: desat1 affects both the production and the reception of sex pheromones while desat2 is involved in their production in flies of Zimbabwe populations. There is a strong asymmetric sexual isolation between Zimbabwe populations and all other “Cosmopolitan” populations: Zimbabwe females rarely copulate with Cosmopolitan males w…

0106 biological sciences[SDV]Life Sciences [q-bio]polymorphismeQH426-47001 natural sciencesheptacosadieneCourtshipmâleSexual Behavior Animalhydrocarbon polymorphismgenetique des populationsMatingévolutionGenetics (clinical)media_commonpheromone production0303 health sciencesbiologyBehavior AnimalIncipient speciationdésaturaseWhite (mutation)Genetics of SexDrosophila melanogasterPhenotypeSex pheromoneAlimentation et Nutritioneuropean corn-borercourtshipFemaleDrosophila melanogasterpyrale du maisfemale receptivitymedia_common.quotation_subjecthydrocarbure cuticulairediffusion de phéromoneparade sexuelleIntrogressionréceptivité femelle03 medical and health sciencesQuantitative Trait HeritableSex Factorsmaledesaturase geneGenetic algorithmexpressionevolutionGeneticsFood and NutritionAnimalstricoseneMolecular Biologycuticular hydrocarbon;tricosene;heptacosadiene;european corn-borer;pheromone production;desaturase gene;male;courtship;hydrocarbon polymorphism;female receptivity;evolution;mutation;populations;expressionGenetic Association Studies030304 developmental biologygène[SDV.BDLR]Life Sciences [q-bio]/Reproductive Biologybiology.organism_classificationpopulations010602 entomologyEvolutionary biologyunion européennecuticular hydrocarbonmutation
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Boldness-exploration behavioral syndrome: interfamily variability and repeatability of personality traits in the young of the convict cichlid (Amatit…

2015

9 pages; International audience; In recent years, considerable research interest in behavioral ecology has focused on characterizing and understanding individual differences in behavior that are consistent over time and across contexts, termed animal “personalities,” and correlations between various behaviors across contexts, termed behavioral syndromes. Although there is some evidence that differences in personality among individuals within populations can be genetically based and adaptive, when and how individual personality differences emerge in a population is not well understood, but of considerable general interest. Here, using juveniles of the convict cichlid (Amatitlania siquia) as …

0106 biological sciencesbehavioral syndromemedia_common.quotation_subjectPopulationheritabilityPersonality psychologyexploration010603 evolutionary biology01 natural sciencesDevelopmental psychology03 medical and health sciencesBehavioral syndrome[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisPersonalityBig Five personality traitsrepeatabilityeducationConvict cichlidboldnessEcology Evolution Behavior and Systematics030304 developmental biologymedia_common0303 health scienceseducation.field_of_study[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologybiologyjuvenile cichlid fishBoldnessbiology.organism_classificationAmatitlania siquiapersonalityAnimal Science and Zoology[SDE.BE]Environmental Sciences/Biodiversity and Ecology[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Mixed company : a framework for understanding the composition and organization of mixed‐species animal groups

2020

Mixed‐species animal groups (MSGs) are widely acknowledged to increase predator avoidance and foraging efficiency, among other benefits, and thereby increase participants' fitness. Diversity in MSG composition ranges from two to 70 species of very similar or completely different phenotypes. Yet consistency in organization is also observable in that one or a few species usually have disproportionate importance for MSG formation and/or maintenance. We propose a two‐dimensional framework for understanding this diversity and consistency, concentrating on the types of interactions possible between two individuals, usually of different species. One axis represents the similarity of benefit types …

0106 biological sciencesevolution of socialityTime Factorsmutualismspecies networksForagingSpatial Behavior010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyBirdsMicroeconomicsinterspecific communicationEating03 medical and health sciencesMixed speciesddc:570Animalsco‐evolutionSocial informationKeystone species030304 developmental biologyMammalsMutualism (biology)0303 health sciencesBehavior AnimalFishesReptilesGroup compositionOriginal ArticlesBiodiversityFeeding BehaviorBiological EvolutionAnimal groupsPredatory BehaviorMimicrypublic informationOriginal ArticleBusinessGeneral Agricultural and Biological SciencesBehavior Observation Techniquesmimicrykeystone species
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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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Fishery-dependent and -independent data lead to consistent estimations of essential habitats

2016

AbstractSpecies mapping is an essential tool for conservation programmes as it provides clear pictures of the distribution of marine resources. However, in fishery ecology, the amount of objective scientific information is limited and data may not always be directly comparable. Information about the distribution of marine species can be derived from two main sources: fishery-independent data (scientific surveys at sea) and fishery-dependent data (collection and sampling by observers in commercial vessels). The aim of this paper is to compare whether these two different sources produce similar, complementary, or different results. We compare them in the specific context of identifying the Es…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Biodiversité et Ecologiehabitatmodélisation spatialehttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_38127Scyliorhinus caniculamodèle hiérarchiqueSpatial statisticsEcologymodèle de distributionSampling (statistics)Contrast (statistics)Cross-validationModélisation et simulationGeographyHabitatGestion des pêchesModeling and Simulationhttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117survey designMarine conservationSpecies Distribution ModelsEcology (disciplines)Bayesian probabilityEtmopterus spinaxenquête statistiqueDonnée sur les pêchesmodèle spatiotemporelSede Central IEOContext (language use)Aquatic ScienceDistribution des populationsBayesian hierarchical models010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026elasmobranchsBiodiversity and Ecologyélasmobrancheétude comparativeBayesian hierarchical models;Cross-validation;Species Distribution Models;Spatial statistics;INLA;elasmobranchs ; survey designINLA14. Life underwaterspecies distribution modelsEcology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_6113collecte des donnéesÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_29788http://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologyGestion et conservation des pêchescross validation[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationmodèle bayésienFisheryM01 - Pêche et aquaculture - Considérations généraleshttp://aims.fao.org/aos/agrovoc/c_2a75d27eThéorie bayésienneM40 - Écologie aquatiqueSpatial ecologyhttp://aims.fao.org/aos/agrovoc/c_2942[SDE.BE]Environmental Sciences/Biodiversity and Ecologyvalidation croiséeElasmobranchii
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Modelling sensitive elasmobranchs habitat

2013

Basic information on the distribution and habitat preferences of ecologically important species is essential for their management and protection. In the Mediterranean Sea there is increasing concern over elasmobranch species because their biological (ecological) characteristics make them highly vulnerable to fishing pressure. Their removal could affect the structure and function of marine ecosystems, inducing changes in trophic interactions at the community level due to the selective elimination of predators or prey species, competitors and species replacement. In this study Bayesian hierarchical spatial models are used to map the sensitive habitats of the three most caught elasmobranch spe…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Etmopterus spinaxhabitatAquatic ScienceDistribution des populationshttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus010603 evolutionary biology01 natural sciencesElasmobranch habitatPredationMediterranean seahttp://aims.fao.org/aos/agrovoc/c_38127http://aims.fao.org/aos/agrovoc/c_3041Scyliorhinus caniculaMediterranean SeaVulnerable speciesMarine ecosystem14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Trophic levelhttp://aims.fao.org/aos/agrovoc/c_6113biologyEcologyU10 - Informatique mathématiques et statistiques010604 marine biology & hydrobiologyScyliorhinus caniculabiology.organism_classificationBiologie marinetechnique de prévisionBayesian hierarchical spatial modelSpecies distribution modelingFisheryHabitatThéorie bayésienneGaleus melastomusM40 - Écologie aquatiquehttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117Elasmobranchii
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GeneSys-Beet: A model of the effects of cropping systems on gene flow between sugar beet and weed beet

2008

A weedy form of the genus Beta, i.e. Beta vulgaris ssp. vulgaris (hence ''weed beet'') frequently found in sugar beet is impossible to eliminate with herbicides because of its genetic proximity to the crop. It is presumed to be the progeny of accidental hybrids between sugar beet (ssp. vulgaris) and wild beet (ssp. maritima), or of sugar beet varieties sensitive to vernalization and sown early in years with late cold spells. In this context, genetically modified (GM) sugar beet varieties tolerant to non-selective herbicides would be interesting to manage weed beet. However, because of the proximity of the weed to the crop, it is highly probable that the herbicide-tolerance transgene would b…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_890PopulationSoil ScienceContext (language use)H60 - Mauvaises herbes et désherbageFlux de gènesGenetically modified01 natural sciencesF30 - Génétique et amélioration des planteshttp://aims.fao.org/aos/agrovoc/c_9000024Crophttp://aims.fao.org/aos/agrovoc/c_37331http://aims.fao.org/aos/agrovoc/c_34285[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyhttp://aims.fao.org/aos/agrovoc/c_2018Cropping systemeducation2. Zero hungereducation.field_of_studybiologyU10 - Informatique mathématiques et statistiquesModélisation des culturesfungifood and beverages04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationWeed controlGene flowTillagePratique culturalehttp://aims.fao.org/aos/agrovoc/c_8347AgronomyOrganisme génétiquement modifié040103 agronomy & agriculture0401 agriculture forestry and fisheriesSugar beetBeta vulgarisWeedAgronomy and Crop ScienceMauvaise herbeModelCropping system010606 plant biology & botanyField Crops Research
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la prospection systématique d’un fond de rivière : l’exemple du Doubs

2020

La présentation des méthodes mises en œuvre et des résultats obtenus à l’occasion d’une opération de prospection subaquatique systématique menée sur la rivière Doubs, en amont de Verdun-sur-le-Doubs (Saône-et-Loire), illustre en grandeur réelle l’intérêt de la démarche adoptée, fondée sur des principes simples, dans la perspective d’un inventaire systématique du patrimoine fluvial immergé. La diversité des vestiges découverts et leur répartition sur la longue durée en soulignent la pertinence mais également, s’il en était encore besoin, la réalité du formidable potentiel archéologique que recèlent les cours d’eau. The presentation of the methods used and results obtained during a systematic…

0106 biological scienceslacHDarchéologie fluviale[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistorycrossing pointlange ZeitFurt01 natural sciencesrömische Brückemoulin sur bateauxSchiffsmühleArchéologielong timeSOC003000ComputingMilieux_MISCELLANEOUSméthodes de prospection subaquatiqueunderwater prospection methodsFlussarchäologie[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistorypont romainMethoden der UnterwasserprospektionmontagneRoman bridge010604 marine biology & hydrobiologyriver archaeologyarchéologie subaquatiquelac savoyardtemps longfloating millenvironnementArchaeology[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistoryguérivière
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Permanent Genetic Resources added to Molecular Ecology Resources Database 1 December 2009-31 January 2010

2010

4 pages; International audience; This article documents the addition of 220 microsatellite marker loci to the Molecular Ecology Resources Database. Loci were developed for the following species: Allanblackia floribunda, Amblyraja radiata, Bactrocera cucurbitae, Brachycaudus helichrysi, Calopogonium mucunoides, Dissodactylus primitivus, Elodea canadensis, Ephydatia fluviatilis, Galapaganus howdenae howdenae, Hoplostethus atlanticus, Ischnura elegans, Larimichthys polyactis, Opheodrys vernalis, Pelteobagrus fulvidraco, Phragmidium violaceum, Pistacia vera, and Thunnus thynnus. These loci were cross-tested on the following species: Allanblackia gabonensis, Allanblackia stanerana, Neoceratitis …

0106 biological sciencesmicrosatellitePopulation geneticsConservation GeneticAllanblackiaAtlantic bluefin tunacomputer.software_genre010603 evolutionary biology01 natural sciencesPistacia terebinthusmicrosatellitesF30 - Génétique et amélioration des plantes03 medical and health sciencesBotanyGeneticsBactroceraESTEcology Evolution Behavior and Systematics030304 developmental biology0303 health sciences[SDV.GEN]Life Sciences [q-bio]/GeneticsDatabasebiologyPistaciaThunnuAnimalCeratitis rosahttp://aims.fao.org/aos/agrovoc/c_444Ceratitis capitataL10 - Génétique et amélioration des animauxbiology.organism_classificationhttp://aims.fao.org/aos/agrovoc/c_5993IschnuraAllanblackia floribundaFishGenetic markersPlantemicrosatellites; Genetic markers; Population geneticsGENETIQUE DES POPULATIONS[ SDV.GEN ] Life Sciences [q-bio]/GeneticscomputerECOLOGIEBiotechnology
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Adaptation to climate change of the French wine industry: a systemic approach – Main outcomes of the project LACCAVE

2018

Présenté au 12. Congreso Internacional Terroir; Taking into account the major economical role and specificities of the French wine industry, adaptation to climate change is a very challenging issue. In 2011, 23 research teams launched a systemic and multidisciplinary program to analyze the impacts from the vine to the region, to define adaptation strategies combining technical, spatial and organizational options and to evaluate the perception by the actors and consumers of climate change issues. Thermal variability was studied at local scale to develop high resolution atmospheric models which better simulate future climate trends. Impacts on growth/developmental conditions and vine response…

0106 biological sciencesmodèle atmosphérique010504 meteorology & atmospheric sciencesmedia_common.quotation_subjectTempérature élevee[SDE.MCG]Environmental Sciences/Global ChangesClimate changethermal behaviorfilière vitivinicole01 natural sciencesMultidisciplinary approachtempérature eleveePerceptionatmosphere modelstratégie d'adaptation[SDV.BV]Life Sciences [q-bio]/Vegetal BiologySystemic approachAdaptation (computer science)Milieux et Changements globauxEnvironmental planninglcsh:Environmental sciences0105 earth and related environmental sciencesmedia_commonStrategic planninglcsh:GE1-350étude prospectiveFutures studiesindice climatique13. Climate actionBusinessadaptation au changement climatiquecomportement thermiqueclimatic index010606 plant biology & botanyWine industry
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