Search results for " Population"

showing 10 items of 1682 documents

Drosophila Evolution over Space and Time (DEST) : A New Population Genomics Resource

2021

Drosophila melanogaster is a leading model in population genetics and genomics, and a growing number of whole-genome datasets from natural populations of this species have been published over the last years. A major challenge is the integration of disparate datasets, often generated using different sequencing technologies and bioinformatic pipelines, which hampers our ability to address questions about the evolution of this species. Here we address these issues by developing a bioinformatics pipeline that maps pooled sequencing (Pool-Seq) reads from D. melanogaster to a hologenome consisting of fly and symbiont genomes and estimates allele frequencies using either a heuristic (PoolSNP) or a…

0106 biological sciencesdrosophilia melanogasterdemographyQH301 BiologyadaptationAcademicSubjects/SCI0118001 natural sciencesGene Frequencymedia_common0303 health sciencesEuropean researchbioinformatiikkaGenomics3rd-DASgenomiikkaNew populationResourcesDrosophila melanogaster; SNPs; adaptation; demography; evolution; population genomicsDrosophila melanogasterpopulaatiogenetiikkaChristian ministryCorrigendumSNPsResource (biology)population genomicsEvolutionevoluutioLibrary scienceQH426 GeneticsBiology010603 evolutionary biology03 medical and health sciencesQH301evolutionGeneticsmedia_common.cataloged_instanceAnimalsEuropean unionAdaptationMolecular BiologyQH426Ecology Evolution Behavior and Systematics030304 developmental biologyDemographyAcademicSubjects/SCI01130banaanikärpänenNISGenetics PopulationComputingMethodologies_PATTERNRECOGNITIONResearch councilMCPperimäMetagenomicsPopulation genomics
researchProduct

The influence of temperature model assumptions on the prognosis accuracy of extinction risk

2000

Abstract For a species whose abundance is well-known to correlate on the degree of heat different temperature model assumptions may affect the prognosis accuracy of persistence. Likewise, year-to-year autocorrelations in weather fluctuations are known to decrease extinction risk. Thus, we investigated the grey bush cricket Platycleis albopunctata . For this species is known that growth and reproduction is mainly influenced by temperature. We developed a stochastic individual based model for the bush cricket. This day–degree model described the demographic growth of the species that depends on temperature. Daily temperatures were generated by five different methods: (i) temperatures were seq…

0106 biological scienceseducation.field_of_studyExtinction010504 meteorology & atmospheric sciencesStochastic modellingEcologyEcological ModelingPopulationAutocorrelation010603 evolutionary biology01 natural sciencesDegree (temperature)Normal distribution13. Climate actionMinimum viable populationAbundance (ecology)Statisticseducation0105 earth and related environmental sciencesMathematicsEcological Modelling
researchProduct

Population variability in space and time.

2000

One of the most ubiquitous phenomena of all natural populations is their variability in numbers in space and time. However, there are notable differences among populations in the way the population size fluctuates. One of the major challenges in population and community ecology is to explain and understand this variety and to find possible underlying rules that might be modified from case-to-case. Population variability also has a spatial component because fluctuations are often synchronized over relatively large distances. Recently, this has led to growing interest in how 'internal' (density-dependent) processes interact with 'external' factors such as environmental variability.

0106 biological scienceseducation.field_of_studyExtinctionCommunityEcology010604 marine biology & hydrobiologyPopulation sizeEcology (disciplines)Population010603 evolutionary biology01 natural sciencesGeographyDensity dependenceNatural population growthSpatial variabilityeducationEcology Evolution Behavior and SystematicsTrends in ecologyevolution
researchProduct

Dispersal of Egyptian Vultures Neophron percnopterus: the first case of long-distance relocation of an individual from France to Sicily.

2016

ABSTRACTKnowledge of juvenile dispersal is important for understanding population dynamics and for effective conservation, particularly of geographically isolated raptor populations. Here, we report the first documented case of a long-distance movement of an Egyptian Vulture Neophron percnopterus from the French population to Sicily. This observation opens a new perspective for the conservation of the small and endangered Sicilian population of this species, providing evidence that persistence of the Italian population may be aided by new input from other countries.

0106 biological scienceseducation.field_of_studybiologyEcologyPopulationEndangered species010603 evolutionary biology01 natural sciencesItalian populationlanguage.human_language010605 ornithologyGeographybiology.animalZoologialanguageBiological dispersalNeophron percnopterusAnimal Science and ZoologyeducationRelocationSicilianDemographyVulture
researchProduct

Effect of a gap on gene flow between otherwise adjacent transgenic Brassica napus crops.

2003

Gene flow resulting from cross pollination becomes an issue when transgenic crops are involved and the genetic modification carries a trait of ecological importance. As crop fields are often separated by a barren gap, such as an intervening roadway or unplanted area, I measured cross contamination between two herbicide-resistant transgenic fields (canola, Brassica napus) across a gap of up to 12 m. I focused on pollen exchange from the field border up to 7 m inside each field over two seasons. In the absence of a gap, I found that gene dispersal diminished rapidly with distance, with more than 40% of transgenic progeny found within the first meter from the edge of the adjacent crop. Cross c…

0106 biological sciencesfood.ingredientPollinationFLUX DE GENEBrassica[SDV.GEN] Life Sciences [q-bio]/GeneticsBiologymedicine.disease_cause01 natural sciencesGene flowCrop03 medical and health sciencesfoodPollinatorPollenGeneticsmedicineCanolaCOLZAComputingMilieux_MISCELLANEOUS030304 developmental biology2. Zero hunger0303 health sciences[SDV.GEN]Life Sciences [q-bio]/GeneticsAnalysis of VarianceBrassica napusGeneral Medicine15. Life on landbiology.organism_classificationPlants Genetically ModifiedGenetics PopulationAgronomyBiological dispersalAgronomy and Crop Science010606 plant biology & botanyBiotechnologyTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
researchProduct

Fossorial but widespread: the phylogeography of the common spadefoot toad (Pelobates fuscus), and the role of the Po Valley as a major source of gene…

2007

International audience; Pelobates fuscus is a fossorial amphibian that inhabits much of the European plain areas. To unveil traces of expansion and contraction events of the species' range, we sequenced 702 bp of the mitochondrial cytochrome b gene. To infer the population history we applied phylogeographical methods, such as nested clade phylogeographical analysis (NCPA), and used summary statistics to analyse population structure under a neutral model of evolution. Populations were assigned to different drainage systems and we tested hypotheses of explicit refugial models using information from analysis of molecular variance, nucleotide diversity, effective population size estimation, NCP…

0106 biological scienceshaplotypesPelobates fuscuspopulation-structuremismatch distribution01 natural sciencesNucleotide diversityCoalescent theorypostglacial range expansionEffective population sizePhylogeny[SDV.EE]Life Sciences [q-bio]/Ecology environment0303 health scienceseducation.field_of_studybiologyGeographyEcologyFossilssummarycoalescentCytochromes bEuropeMitochondrial-dnastatisticsAnuracladistic-analysisPopulationPelobates[SDV.BID]Life Sciences [q-bio]/Biodiversitynucleotide diversity010603 evolutionary biology03 medical and health sciencesstatistical phylogeographygeographical-distributionGeneticsVicarianceAnimalseducationEcology Evolution Behavior and Systematics030304 developmental biologyPopulation DensityinferenceDNA15. Life on landbiology.organism_classificationPhylogeographyspeciationEvolutionary biologyphylogeographical analysis[SDE.BE]Environmental Sciences/Biodiversity and EcologydivergencePelobates cultripesMolecular ecology
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

Role of host genetic diversity for susceptibility-to-infection in the evolution of virulence of a plant virus

2019

Predicting viral emergence is difficult due to the stochastic nature of the underlying processes and the many factors that govern pathogen evolution. Environmental factors affecting the host, the pathogen and the interaction between both are key in emergence. In particular, infectious disease dynamics are affected by spatiotemporal heterogeneity in their environments. A broad knowledge of these factors will allow better estimating where and when viral emergence is more likely to occur. Here, we investigate how the population structure for susceptibility-to-infection genes of the plant Arabidopsis thaliana shapes the evolution of Turnip mosaic virus (TuMV). For doing so we have evolved TuMV …

0106 biological sciencesinfection matrixPopulationPotyvirusVirulenceMetapopulation010603 evolutionary biology01 natural sciencesMicrobiology03 medical and health sciencesVirologyPlant virusTurnip mosaic virusResistance to infectionexperimental evolutioneducationPathogenhost population structure030304 developmental biologyvirus evolution0303 health sciencesExperimental evolutioneducation.field_of_studyGenetic diversitybiologyEcotypeGenetic heterogeneityEvolution of virulenceHost population structureresistance to infectionbiology.organism_classificationInfection matrixVirus evolutionExperimental evolutionInfectious disease (medical specialty)Evolutionary biologyViral evolutionResearch Articleevolution of virulence
researchProduct