Search results for "Statistics"

showing 10 items of 7671 documents

Dinosaur Metabolism and the Allometry of Maximum Growth Rate

2016

In his 2016 paper, Myhrvold criticized ours from 2014 on maximum growth rates (Gmax, maximum gain in body mass observed within a time unit throughout an individual’s ontogeny) and thermoregulation strategies (ectothermy, endothermy) of 17 dinosaurs. In our paper, we showed that Gmax values of similar-sized extant ectothermic and endothermic vertebrates overlap. This strongly questions a correct assignment of a thermoregulation strategy to a dinosaur only based on its Gmax and (adult) body mass (M). Contrary, Gmax separated similar-sized extant reptiles and birds (Sauropsida) and Gmax values of our studied dinosaurs were similar to those seen in extant similar-sized (if necessary scaled-up) …

0106 biological sciences0301 basic medicineMetabolic stateMetabolic AnalysisPhysiologylcsh:MedicineAnimal Phylogenetics01 natural sciencesBody TemperatureDinosaursMathematical and Statistical TechniquesExtant taxonMedicine and Health SciencesBody SizeGrowth ratelcsh:Sciencemedia_commonArchosauriaData ManagementMammalsMultidisciplinaryEcologyFossilsEukaryotaRegression analysisPrehistoric AnimalshumanitiesCurve FittingPhylogeneticsBioassays and Physiological AnalysisPhysiological ParametersEctothermPhysical SciencesVertebratesRegression AnalysisStatistics (Mathematics)Research ArticleComputer and Information Sciencesmedia_common.quotation_subjectVertebrate PaleontologyBiologyResearch and Analysis Methods010603 evolutionary biologyMarsupialsFormal CommentBirds03 medical and health sciencesBasal Metabolic Rate MeasurementAnimalsEvolutionary SystematicsStatistical MethodsPaleozoologyTaxonomyEvolutionary BiologyVariableslcsh:ROrganismsReptilesBiology and Life SciencesPaleontology030104 developmental biologyEvolutionary biologyBasal metabolic rateAmniotesEarth Scienceslcsh:QAllometryPaleobiologyEnergy MetabolismZoologyMathematical FunctionsMathematicsPLoS ONE
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Effects of the temporal scale of observation on the analysis of aquatic invertebrate metacommunities

2020

The development of metacommunity theory has boosted the implementation of numerous empirical tests with field data, mostly focused on the role of spatial and environmental gradients on metacommunity organization. These studies showed an important dependence of the results on the observational scale considered, i.e., spatial grain, sampling spacing, and extent. However, few works deal with time per se as a component explaining metacommunity structure, even when data from periodic sampling are available. We suggest adding time explicitly to metacommunity analysis, but taking into account that the temporal scale of observation could affect the estimation of the relative influence of environmen…

0106 biological sciences0301 basic medicineMetacommunitytemporal scaleScale (ratio)Laglcsh:EvolutionselectionAtmospheric sciences010603 evolutionary biology01 natural sciences03 medical and health scienceslcsh:QH540-549.5lcsh:QH359-425dispersalTemporal scalesEcology Evolution Behavior and SystematicsInvertebrateEcologySampling (statistics)Ecologia030104 developmental biologymetacommunity dynamicsSpatial ecologyEnvironmental scienceBiological dispersalecological driftlcsh:Ecology
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Opportunity costs resulting from scramble competition within the choosy sex severely impair mate choosiness.

2016

12 pages; International audience; Studies on mate choice mainly focus on the evolution of signals that would maximize the probability of finding a good-quality partner. Most models of sexual selection rely on the implicit assumption that individuals can freely compare and spot the best mates in a heterogeneous population. Comparatively few studies have investigated the consequences of the mate-sampling process. Several sampling strategies have been studied from theoretical or experimental perspectives. They belong to two families of decision rules: best-of-n strategies (individuals sample n partners before choosing the best one within this pool) or threshold strategies (individuals sequenti…

0106 biological sciences0301 basic medicineOpportunity costmate-sampling strategyPopulationSample (statistics)010603 evolutionary biology01 natural sciencesEvolutionarily stable strategy03 medical and health sciences[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisEconometricseducationintrasexual competitionEcology Evolution Behavior and Systematics[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologyeducation.field_of_studythreshold decision rulechoosinessDecision rule030104 developmental biologyMate choiceSexual selectionAnimal Science and Zoologyopportunity costs[SDE.BE]Environmental Sciences/Biodiversity and EcologyPsychologyScramble competitionSocial psychology[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Low but contrasting neutral genetic differentiation shaped by winter temperature in European great tits.

2016

Gene flow is usually thought to reduce genetic divergence and impede local adaptation by homogenising gene pools between populations. However, evidence for local adaptation and phenotypic differentiation in highly mobile species, experiencing high levels of gene flow, is emerging. Assessing population genetic structure at different spatial scales is thus a crucial step towards understanding mechanisms underlying intraspecific differentiation and diversification. Here, we studied the population genetic structure of a highly mobile species - the great tit Parus major - at different spatial scales. We analysed 884 individuals from 30 sites across Europe including 10 close-by sites (< 50 km), u…

0106 biological sciences0301 basic medicineSELECTIONZOOLOGIA[SDV]Life Sciences [q-bio]FLOWSOFTWARE01 natural sciencesmicrosatellitesBehavioral EcologyLOCAL ADAPTATIONParus majorComputingMilieux_MISCELLANEOUSeducation.field_of_studyLatitudeCLIMATE-CHANGEEcologyIsolation-by-distancelatitudePE&RCGedragsecologieWILD BIRD POPULATIONinternationalGenetic structureGene poolwinter severityPopulationAnimal Breeding and GenomicsBiologyPARUS-MAJOR010603 evolutionary biology03 medical and health sciencesPopulation genetic structureFokkerij en GenomicaMicrosatelliteseducationBiologyEcology Evolution Behavior and SystematicsLocal adaptationIsolation by distanceisolation-by-distance[SDV.GEN]Life Sciences [q-bio]/GeneticsGenetic diversityF-statisticsGenetic divergenceWinter severity030104 developmental biologyPARTIAL MIGRATIONF-statisticsNATAL DISPERSALRE-IMPLEMENTATIONWIAS570 Life sciences; biologyta1181Biological Journal of the Linnean Society
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Experimental approaches for testing if tolerance curves are useful for predicting fitness in fluctuating environments

2017

Most experimental studies on adaptation to stressful environments are performed under conditions that are rather constant and rarely ecologically relevant. Fluctuations in natural environmental conditions are ubiquitous and include for example variation in intensity and duration of temperature, droughts, parasite loads, and availability of nutrients, predators and competitors. The frequency and amplitude of many of these fluctuations are expected to increase with climate change. Tolerance curves are often used to describe fitness components across environmental gradients. Such curves can be obtained by assessing performance in a range of constant environmental conditions. In this perspectiv…

0106 biological sciences0301 basic medicineSpecies distributionlcsh:EvolutionClimate changeEnvironmental stressBiology010603 evolutionary biology01 natural sciencesEnvironmental stress03 medical and health sciencesAbundance (ecology)lcsh:QH540-549.5Tolerance curveslcsh:QH359-425Range (statistics)EconometricsClimate changeConstant and fluctuating environmentsEcology Evolution Behavior and SystematicssietokykysopeutuminenEcologyEcologyconstant and fluctuating environmentsBiotailmastonmuutoksetenvironmental stressSpecies distributionsconstant and fluctuating environmentstolerance curvesclimate changespecies distributions030104 developmental biologyta1181lcsh:EcologyAdaptationConstant (mathematics)ympäristönmuutokset
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Whole genome sequencing data and de novo draft assemblies for 66 teleost species

2017

Teleost fishes comprise more than half of all vertebrate species, yet genomic data are only available for 0.2% of their diversity. Here, we present whole genome sequencing data for 66 new species of teleosts, vastly expanding the availability of genomic data for this important vertebrate group. We report on de novo assemblies based on low-coverage (9–39×) sequencing and present detailed methodology for all analyses. To facilitate further utilization of this data set, we present statistical analyses of the gene space completeness and verify the expected phylogenetic position of the sequenced genomes in a large mitogenomic context. We further present a nuclear marker set used for phylogenetic…

0106 biological sciences0301 basic medicineStatistics and ProbabilityData DescriptorComputational biologyLibrary and Information Sciences010603 evolutionary biology01 natural sciencesGenomeEducation03 medical and health sciencesbiology.animalGenome assembly algorithmsAnimalsDNA sequencingGenePhylogenyGeneticsWhole genome sequencingGenomeWhole Genome SequencingbiologyPhylogenetic treeComparative genomicsGene treeFishesRobustness (evolution)VertebrateGenomicsComputer Science ApplicationsMetadata030104 developmental biologyStatistics Probability and UncertaintyInformation SystemsScientific Data
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Energy intake functions and energy budgets of ectotherms and endotherms derived from their ontogenetic growth in body mass and timing of sexual matur…

2017

Abstract Ectothermic and endothermic vertebrates differ not only in their source of body temperature (environment vs. metabolism), but also in growth patterns, in timing of sexual maturation within life, and energy intake functions. Here, we present a mathematical model applicable to ectothermic and endothermic vertebrates. It is designed to test whether differences in the timing of sexual maturation within an animal's life (age at which sexual maturity is reached vs. longevity) together with its ontogenetic gain in body mass (growth curve) can predict the energy intake throughout the animal's life (food intake curve) and can explain differences in energy partitioning (between growth, repro…

0106 biological sciences0301 basic medicineStatistics and ProbabilityOntogenymedia_common.quotation_subjectZoologyGrowth010603 evolutionary biology01 natural sciencesEndothermic processGeneral Biochemistry Genetics and Molecular BiologyBody Mass IndexBody Temperature03 medical and health sciencesbiology.animalAnimalsSexual maturitySexual Maturationmedia_commonGeneral Immunology and MicrobiologybiologyApplied MathematicsLongevityVertebrateThermogenesisGeneral MedicineGrowth curve (biology)Models Theoretical030104 developmental biologyModeling and SimulationEctothermVertebratesReproductionEnergy IntakeGeneral Agricultural and Biological SciencesJournal of Theoretical Biology
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Extinction risk under coloured environmental noise

2000

Positively autocorrelated red environmental noise is characterized by a strong dependence of expected sample variance on sample length. This dependence has to be taken into account when assessing extinction risk under red and white uncorrelated environmental noise. To facilitate a comparison between red and white noise, their expected variances can be scaled to be equal, but only at a chosen time scale. We show with a simple one-dimensional population dynamics model that the different but equally reasonable choices of the time scale yield qualitatively different results on the dependence of extinction risk on the colour of environmental noise: extinction risk might increase as well as decre…

0106 biological sciences0303 health scienceseducation.field_of_studyExtinctionScale (ratio)EcologyAutocorrelationPopulationWhite noiseBiological Sciences010603 evolutionary biology01 natural sciences010601 ecology03 medical and health sciencesNoiseStatisticsSample varianceeducationEnvironmental noiseAstrophysics::Galaxy AstrophysicsEcology Evolution Behavior and Systematics030304 developmental biologyMathematicsEcography
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Shape, size, and quantity of ingested external abrasives influence dental microwear texture formation in guinea pigs

2020

Food processing wears down teeth, thus affecting tooth functionality and evolutionary success. Other than intrinsic silica phytoliths, extrinsic mineral dust/grit adhering to plants causes tooth wear in mammalian herbivores. Dental microwear texture analysis (DMTA) is widely applied to infer diet from microscopic dental wear traces. The relationship between external abrasives and dental microwear texture (DMT) formation remains elusive. Feeding experiments with sheep have shown negligible effects of dust-laden grass and browse, suggesting that intrinsic properties of plants are more important. Here, we explore the effect of clay- to sand-sized mineral abrasives (quartz, volcanic ash, loess,…

0106 biological sciences10253 Department of Small AnimalsGuinea PigsDental WearMineral dustdiet reconstruction010603 evolutionary biology01 natural sciencesTexture (geology)Texture formation010104 statistics & probabilitychemistry.chemical_compoundstomatognathic systemAnimalsHerbivoryParticle Size0101 mathematicsQuartzgrit2. Zero hunger1000 MultidisciplinaryMultidisciplinary630 AgricultureMetallurgyPlantsBiological SciencesAnimal FeedSilicateDietTooth AbrasionchemistryTooth weartooth wear570 Life sciences; biologyParticle sizedustfeeding experimentProceedings of the National Academy of Sciences
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Merging cranial histology and 3D-computational biomechanics : A review of the feeding ecology of a Late Triassic temnospondyl amphibian

2021

Finite Element Analysis (FEA) is a useful method for understanding form and function. However, modelling of fossil taxa invariably involves assumptions as a result of preservation-induced loss of information in the fossil record. To test the validity of predictions from FEA, given such assumptions, these results could be compared to independent lines of evidence for cranial mechanics. In the present study a new concept of using bone microstructure to predict stress distribution in the skull during feeding is put forward and a correlation between bone microstructure and results of computational biomechanics (FEA) is carried out. The bony framework is a product of biological optimisation; bon…

0106 biological sciencesAmphibianskull010506 paleontologyHistologyForaginglcsh:MedicineBioengineeringMetoposaurus010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyPaleontologyTemnospondylibiology.animalDermal boneMetoposaurusmedicinefeeding strategyFEA0105 earth and related environmental sciencesDermal bonebiologyGeneral Neurosciencelcsh:RSkullMode (statistics)PaleontologyTemnospondyliGeneral Medicinedermal bonebiology.organism_classificationBone histologySkullbone histologymedicine.anatomical_structureBitingGeneral Agricultural and Biological SciencesFeeding strategyGeology
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