Search results for "bias"

showing 10 items of 654 documents

Northern European Salmo trutta (L.) populations are genetically divergent across geographical regions and environmental gradients

2020

The salmonid fish Brown trout is iconic as a model for the application of conservation genetics to understand and manage local interspecific variation. However, there is still scant information about relationships between local and large-scale population structure, and to what extent geographical and environmental variables are associated with barriers to gene flow. We used information from 3,782 mapped SNPs developed for the present study and conducted outlier tests and gene–environment association (GEA) analyses in order to examine drivers of population structure. Analyses comprised >2,600 fish from 72 riverine populations spanning a central part of the species' distribution in norther…

0106 biological sciences0301 basic medicineConservation geneticsSELECTIONPopulationsalmonidCONSERVATIONlcsh:Evolutiongenotype‐environment association010603 evolutionary biology01 natural sciencesGene flow03 medical and health sciencesbrown troutLOCAL ADAPTATIONSampling designlcsh:QH359-425GeneticsGENOME SCANS14. Life underwaterSalmoeducationEcology Evolution Behavior and SystematicsLocal adaptationGenotype‐environment associationeducation.field_of_studyCLIMATE-CHANGEbiologyBROWN TROUTSTRUCTURED POPULATIONSR-PACKAGESampling (statistics)genotype-environment associationVDP::Matematikk og Naturvitenskap: 400biology.organism_classification030104 developmental biologyEvolutionary biologyoutlier testTEMPORAL-CHANGESOutlierGeneral Agricultural and Biological SciencesASCERTAINMENT BIASlocal adaptation
researchProduct

Evolutionary Trends in the Mitochondrial Genome of Archaeplastida: How Does the GC Bias Affect the Transition from Water to Land?

2020

[EN] Among the most intriguing mysteries in the evolutionary biology of photosynthetic organisms are the genesis and consequences of the dramatic increase in the mitochondrial and nuclear genome sizes, together with the concomitant evolution of the three genetic compartments, particularly during the transition from water to land. To clarify the evolutionary trends in the mitochondrial genome of Archaeplastida, we analyzed the sequences from 37 complete genomes. Therefore, we utilized mitochondrial, plastidial and nuclear ribosomal DNA molecular markers on 100 species of Streptophyta for each subunit. Hierarchical models of sequence evolution were fitted to test the heterogeneity in the base…

0106 biological sciences0301 basic medicinegc biasMitochondrial DNANuclear geneBOTANICAPlant ScienceMitochondrial genomic pattern01 natural sciencesGenomeArticlegc content concomitance03 medical and health sciencesArchaeplastidaRibosomal DNAGeneEcology Evolution Behavior and SystematicsEcologybiologyArchaeplastidaStreptophytaGC biasBotanymitochondrial genomic patternEquilibrium GC frequencybiology.organism_classification030104 developmental biologyequilibrium gc frequencyEvolutionary biologyQK1-989archaeplastidaGC content concomitanceGC-content010606 plant biology & botanyPlants
researchProduct

Implications of size‐selective fisheries on sexual selection

2019

Fisheries often combine high mortality with intensive size‐selectivity and can, thus, be expected to reduce body size and size variability in exploited populations. In many fish species, body size is a sexually selected trait and plays an important role in mate choice and mate competition. Large individuals are often preferred as mates due to the high fecundity and resources they can provide to developing offspring. Large fish are also successful in competition for mates. Fisheries‐induced reductions in size and size variability can potentially disrupt mating systems and lower average reproductive success by decreasing opportunities for sexual selection. By reducing population sizes, fisher…

0106 biological sciences0301 basic medicinemedia_common.quotation_subjectPopulationlcsh:Evolutionevoluutiosize variabilityBiology010603 evolutionary biology01 natural sciencesCompetition (biology)03 medical and health scienceskokoGeneticslcsh:QH359-425Inbreeding avoidancemate choiceeducationmuuntelu (biologia)inbreeding avoidancemate competitionEcology Evolution Behavior and Systematicsmedia_commonplastic responseeducation.field_of_studyReproductive successfisheries‐induced evolutionMating systemFisherykalastuskalatalous030104 developmental biologyMate choicesukupuolivalintaSexual selectionSpecial Issue Review and Synthesessex‐biased fisheriesGeneral Agricultural and Biological SciencesInbreeding
researchProduct

How challenging RADseq data turned out to favor coalescent-based species tree inference. A case study in Aichryson (Crassulaceae)

2022

Analysing multiple genomic regions while incorporating detection and qualification of discordance among regions has become standard for understanding phylogenetic relationships. In plants, which usually have comparatively large genomes, this is feasible by the combination of reduced-representation library (RRL) methods and high-throughput sequencing enabling the cost effective acquisition of genomic data for thousands of loci from hundreds of samples. One popular RRL method is RADseq. A major disadvantage of established RADseq approaches is the rather short fragment and sequencing range, leading to loci of little individual phylogenetic information. This issue hampers the application of coa…

0106 biological sciences570clustering threshold selectionInferenceLocus (genetics)Computational biologyBiologyCrassulaceaedata bias010603 evolutionary biology01 natural sciencesGenomeCoalescent theoryspecies tree inference03 medical and health scienceslocus filteringGeneticscoalescent-based summary methodCluster analysisMolecular BiologyEcology Evolution Behavior and SystematicsSelection (genetic algorithm)Phylogeny030304 developmental biology0303 health sciencesGenomePhylogenetic treeHigh-Throughput Nucleotide SequencingGenomicsRADseq500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; BiologieTree (data structure)
researchProduct

The Bias of combining variables on fish's aggressive behavior studies.

2019

Made available in DSpace on 2019-10-06T16:27:42Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-07-01 Quantifying animal aggressive behavior by behavioral units, either displays or attacks, is a common practice in animal behavior studies. However, this practice can generate a bias in data analysis, especially when the variables have different temporal patterns. This study aims to use Bayesian Hierarchical Linear Models (B-HLMs) to analyze the feasibility of pooling the aggressive behavior variables of four cichlids species. Additionally, this paper discusses the feasibility of combining variables by examining the usage of different sample sizes and family distributions to aggressive …

0106 biological sciencesBayesian probabilityPosterior probabilityBayesian analysisPoisson distribution010603 evolutionary biology01 natural sciencesBehavioral Neurosciencesymbols.namesakeBiasPrior probabilityStatisticsAnimals0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyPterophyllum scalareMathematicsProbabilitybiologyBehavior Animal05 social sciencesMultilevel modelBayes TheoremGeneral MedicineCichlidsbiology.organism_classificationAggressive behaviourMarkov ChainsAggressionVariable (computer science)Sample size determinationData Interpretation StatisticalsymbolsAnimal Science and ZoologyPooled dataMonte Carlo MethodBehavioural processes
researchProduct

Assessing sampling coverage of species distribution in biodiversity databases

2019

Abstract Aim Biodiversity databases are valuable resources for understanding plant species distributions and dynamics, but they may insufficiently represent the actual geographic distribution and climatic niches of species. Here we propose and test a method to assess sampling coverage of species distribution in biodiversity databases in geographic and climatic space. Location Europe. Methods Using a test selection of 808,794 vegetation plots from the European Vegetation Archive (EVA), we assessed the sampling coverage of 564 European vascular plant species across both their geographic ranges and realized climatic niches. Range maps from the Chorological Database Halle (CDH) were used as bac…

0106 biological sciencesChorological Database Halle (CDH)Range (biology)multi-scale[SDE.MCG]Environmental Sciences/Global Changesvegetation-plot databasesSpecies distributionPlant Science[SDV.BID]Life Sciences [q-bio]/Biodiversitycomputer.software_genre010603 evolutionary biology01 natural sciencesmacro-ecology333: Bodenwirtschaft und Ressourcen577: ÖkologieRealized niche widthMacroecologyEcological niche[SDV.EE]Life Sciences [q-bio]/Ecology environmentspatial scaleEcologyDatabaseNull modelvegetation plot databasesclimatic nichevascular plantSampling (statistics)species rangeVegetation15. Life on landDynamic Match Coefficient (DMC)sampling biasGeographyrealized niche1181 Ecology evolutionary biologymacroecology[SDE.BE]Environmental Sciences/Biodiversity and Ecologycomputer010606 plant biology & botanyEuropean Vegetation Archive (EVA)
researchProduct

Calibrating Expert Assessments Using Hierarchical Gaussian Process Models

2020

Expert assessments are routinely used to inform management and other decision making. However, often these assessments contain considerable biases and uncertainties for which reason they should be calibrated if possible. Moreover, coherently combining multiple expert assessments into one estimate poses a long-standing problem in statistics since modeling expert knowledge is often difficult. Here, we present a hierarchical Bayesian model for expert calibration in a task of estimating a continuous univariate parameter. The model allows experts' biases to vary as a function of the true value of the parameter and according to the expert's background. We follow the fully Bayesian approach (the s…

0106 biological sciencesComputer sciencepäätöksentekoRECONCILIATIONInferencecomputer.software_genre01 natural sciencesSTOCK ASSESSMENTenvironmental management010104 statistics & probabilityJUDGMENTSELICITATIONkalakantojen hoito111 Mathematicstilastolliset mallitReliability (statistics)Applied Mathematicsgaussiset prosessitfisheries sciencebias correctionexpert elicitationPROBABILITY62P1260G15symbols62F15Statistics and ProbabilityarviointimenetelmätBayesian probabilityenvironmental management.Bayesian inferenceMachine learningHEURISTICSsymbols.namesakeasiantuntijatMANAGEMENT0101 mathematicsGaussian processGaussian processCATCH LIMITSbusiness.industrybayesilainen menetelmä010604 marine biology & hydrobiologyUnivariateExpert elicitationOPINIONSupra BayesArtificial intelligenceHeuristicsbusinessFISHERIEScomputerBayesian Analysis
researchProduct

Gene expression levels influence amino acid usage and evolutionary rates in endosymbiotic bacteria

2005

International audience; Most endosymbiotic bacteria have extremely reduced genomes, accelerated evolutionary rates, and strong AT base compositional bias thought to reflect reduced efficacy of selection and increased mutational pressure. Here, we present a comparative study of evolutionary forces shaping five fully sequenced bacterial endosymbionts of insects. The results of this study were three-fold: (i) Stronger conservation of high expression genes at not just nonsynonymous, but also synonymous, sites. (ii) Variation in amino acid usage strongly correlates with GC content and expression level of genes. This pattern is largely explained by greater conservation of high expression genes, l…

0106 biological sciencesNonsynonymous substitutionInsectafood.ingredientBlochmanniaBiology010603 evolutionary biology01 natural sciencesGenomeEvolution Molecular03 medical and health sciencesfoodBacterial ProteinsBuchneraSpecies SpecificityGeneticsAnimalsAmino AcidsCodonSymbiosisWigglesworthiaGene030304 developmental biology2. Zero hungerGeneticschemistry.chemical_classification0303 health sciences[SDV.GEN]Life Sciences [q-bio]/GeneticsBacteriaGene Expression Regulation BacterialGeneral Medicinebiology.organism_classificationAT Rich SequenceGC Rich SequenceAmino acidINSECTEAmino Acid SubstitutionchemistryCodon usage biasMutationDatabases Nucleic AcidBuchneraGC-content
researchProduct

Climate and socio-economic factors explain differences between observed and expected naturalization patterns of European plants around the world

2021

Pouteau, R., et al.

0106 biological sciencesRange (biology)Species distributionalien species010603 evolutionary biology01 natural sciencesInvasive speciesантропогенная нагрузкасистематическая ошибка выборкиAntrophogenic pressureddc:570introduction pathwayчужеродные виды577: Ökologiefunctional traitэкологический факторalien species anthropogenic pressure environmental driver functional trait global change introduction pathway naturalization ornamental plant sampling bias species distribution modelEcology Evolution Behavior and Systematicsglobal changeдекоративные растения[SDV.EE]Life Sciences [q-bio]/Ecology environmentGlobal and Planetary ChangeEcologyEcologyenvironmental driverspecies distribution model010604 marine biology & hydrobiologyornamental plantalien species ; anthropogenic pressure ; environmental driver ; functional trait ; global change ; introduction pathway ; naturalization ; ornamental plant ; sampling bias ; species distribution modelSpecies distribution modelGlobal change15. Life on landклиматические факторыanthropogenic pressuresampling biasnaturalizationTaxonGeography580: Pflanzen (Botanik)HabitatDisturbance (ecology)модели распространения видов[SDE]Environmental Sciencesфункциональные признакинатурализацияSpecies richness
researchProduct

Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences

2020

Building trust in science and evidence-based decision-making depends heavily on the credibility of studies and their findings. Researchers employ many different study designs that vary in their risk of bias to evaluate the true effect of interventions or impacts. Here, we empirically quantify, on a large scale, the prevalence of different study designs and the magnitude of bias in their estimates. Randomised designs and controlled observational designs with pre-intervention sampling were used by just 23% of intervention studies in biodiversity conservation, and 36% of intervention studies in social science. We demonstrate, through pairwise within-study comparisons across 49 environmental da…

0106 biological sciencesResearch designScientific communitySCIENTIFIC COMMUNITYMedio ambiente naturalsosiaalitieteetPsychological interventionGeneral Physics and AstronomySocial SciencesQH7501 natural sciencesEnvironmental impact//purl.org/becyt/ford/1 [https]010104 statistics & probability/706/648CredibilityPrevalenceSocial scienceComputingMilieux_MISCELLANEOUSGEMultidisciplinaryEcologyQarticleSampling (statistics)Biodiversitynäyttöön perustuvat käytännötsatunnaistetut vertailukokeetENVIRONMENTAL IMPACTResearch designResearch DesignScale (social sciences)[SDE]Environmental SciencesH1ScienceEnvironment010603 evolutionary biologyGeneral Biochemistry Genetics and Molecular BiologySocial sciencesBiastutkimusmenetelmätQH541/704/172/4081Humans0101 mathematics//purl.org/becyt/ford/1.6 [https]ympäristötieteetpoliittinen päätöksentekoClinical study designmetodologia/706/689General Chemistry15. Life on landEcologíaLiteraturePairwise comparisonObservational study/631/158luotettavuusBias; Biodiversity; Ecology; Environment; Humans; Literature; Prevalence; Research Design; Social SciencesNature Communications
researchProduct