Search results for "Statistics"

showing 10 items of 7671 documents

Environmental Quality Assessment of Bizerte Lagoon (Tunisia) Using Living Foraminifera Assemblages and a Multiproxy Approach.

2015

This study investigated the environmental quality of the Bizerte Lagoon (Tunisia) through an integrated approach that combined environmental, biogeochemical, and living benthic foraminiferal analyses. Specifically, we analyzed the physicochemical parameters of the water and sediment. The textural, mineralogical, and geochemical characteristics of the sediment, including total organic carbon, total nitrogen, simultaneously extracted metals (SEM), acid volatile sulfides (AVS), chlorophyll a, CaCO3, and changes in bacterial populations and carbon isotopes were measured. The SEM/AVS values indicated the presence of relatively high concentrations of toxic metals in only some areas. Foraminiferal…

0106 biological sciencesMediterranean climateBiogeochemical cycleTunisiaStatistics as Topiclcsh:MedicineEnvironmental pollutionForaminifera010501 environmental sciences01 natural sciencesForaminifera14. Life underwaterWater pollutionlcsh:Science0105 earth and related environmental sciencesTotal organic carbonMultidisciplinarybiologyEcology010604 marine biology & hydrobiologylcsh:RSedimentbiology.organism_classification6. Clean water13. Climate actionBenthic zoneEnvironmental sciencelcsh:QEnvironmental PollutionResearch ArticleEnvironmental MonitoringPLoS ONE
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Forest snail faunas from Transylvania (Romania) and their relationship to the faunas of Central and Northern Europe

2011

Forty-three forest sites in seven sampling areas in mountainous parts of Transylvania were sampled to obtain inventories of their snail faunas, and to make comparisons between these and the faunas of similar sites further north along the Carpathian chain. Sampling areas ran from close to the Ukrainian border in the north to Retezat in the south-west. Altogether, 83 species were found, as well as between 19 and 40 species at individual sites. Sites within the same sampling area had more species in common than in among-area comparisons, although differences between areas did not relate to the distance between them. Such differences appear to be related more to ecological factors than to geogr…

0106 biological sciencesMediterranean climateDistance decay010506 paleontologyPleistoceneEcologyFaunaSampling (statistics)15. Life on landBiology010603 evolutionary biology01 natural sciencesHabitatGlacial periodEndemismEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesBiological Journal of the Linnean Society
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Assessing the spatiotemporal persistence of fish distributions: a case study on two red mullet species (Mullus surmuletus and M. barbatus) in the wes…

2020

Understanding the spatiotemporal persistence of fish distributions is key to defining fish hotspots and effective fisheries-restricted areas (FRAs). Hierarchical Bayesian spatiotemporal models provide an excellent framework to understand these distributions, as they can accommodate different spatiotemporal behaviour in the data, primarily due to their flexibility. The aim of this research was to characterize the fundamental behavioural patterns of fish as persistent, opportunistic or progressive by comparing different spatiotemporal model structures in order to provide better information for marine spatial planning. To illustrate this method, the spatiotemporal distributions of 2 sympatric …

0106 biological sciencesMediterranean climateRed mulletMullus surmuletusSpatiotemporalAquatic Science01 natural sciencesPersistence (computer science)010104 statistics & probabilityFisheries managementSpecies distribution modellingFisheries-restricted areasCentro Oceanográfico de MurciaPesquerías0101 mathematicsEcology Evolution Behavior and SystematicsEcologybiology010604 marine biology & hydrobiologyMarine spatial planningbiology.organism_classificationMarine spatial planningEnvironmental niche modellingFisheryGeographyFish <Actinopterygii>Fisheries management
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Bayesian analysis improves experimental studies about temporal patterning of aggression in fish.

2017

Made available in DSpace on 2018-12-11T17:15:13Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-12-01 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) This study aims to describe a Bayesian Hierarchical Linear Model (HLM) approach for longitudinal designs in fish's experimental aggressive behavior studies as an alternative to classical methods In particular, we discuss the advantages of Bayesian analysis in dealing with combined variables, non-statistically significant results and required sample size using an experiment of angelfish (Pterophyllum scalare) species as case study. Groups of 3 individuals were subjected to daily observations recorded for 10 min durin…

0106 biological sciencesMonte Carlo methodBayesian probabilityBayesian analysisAquaculture010603 evolutionary biology01 natural sciencesStability (probability)Behavioral NeuroscienceStatisticsAnimals0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyPterophyllum scalareProbabilitybiologyMarkov chain05 social sciencesMultilevel modelAggressive behaviorBayes TheoremGeneral MedicineCichlidsbiology.organism_classificationLongitudinal designMarkov ChainsAggressionVariable (computer science)Sample size determinationResearch DesignAnimal Science and ZoologyPsychologyMonte Carlo MethodBehavioural processes
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Empirical Bayes improves assessments of diversity and similarity when overdispersion prevails in taxonomic counts with no covariates

2019

Abstract The assessment of diversity and similarity is relevant in monitoring the status of ecosystems. The respective indicators are based on the taxonomic composition of biological communities of interest, currently estimated through the proportions computed from sampling multivariate counts. In this work we present a novel method to estimate the taxonomic composition able to work even with a single sample and no covariates, when data are affected by overdispersion. The presence of overdispersion in taxonomic counts may be the result of significant environmental factors which are often unobservable but influence communities. Following the empirical Bayes approach, we combine a Bayesian mo…

0106 biological sciencesMultivariate statisticsBiological dataEmpirical Bayesian estimationEcologyTaxonomic compositionGeneral Decision SciencesEnvironmental monitoring010501 environmental sciencesBayesian inference010603 evolutionary biology01 natural sciencesBiodiversity assessment; Dirichlet-Multinomial model; Empirical Bayesian estimation; Environmental monitoring; Taxonomic compositionMarginal likelihoodBayes' theoremOverdispersionStatisticsTaxonomic rankDirichlet-Multinomial modelBiodiversity assessmentEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEmpirical Bayes methodMathematics
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Managing for resilience: an information theory-based approach to assessing ecosystems

2016

Ecosystems are complex and multivariate; hence, methods to assess the dynamics of ecosystems should have the capacity to evaluate multiple indicators simultaneously. Most research on identifying leading indicators of regime shifts has focused on univariate methods and simple models which have limited utility when evaluating real ecosystems, particularly because drivers are often unknown. We discuss some common univariate and multivariate approaches for detecting critical transitions in ecosystems and demonstrate their capabilities via case studies. Synthesis and applications. We illustrate the utility of an information theory-based index for assessing ecosystem dynamics. Trends in this inde…

0106 biological sciencesMultivariate statisticsInformation theoryIndex (economics)Computer scienceInformation theory010603 evolutionary biology01 natural sciencesEcosystemsEconomic indicatorIndicatorsEcosystemResilience (network)Regime shiftsResilienceFisher informationEcologybusiness.industryEnvironmental resource managementUnivariateComputingMilieux_GENERAL010601 ecologyLeadingEcosystem dynamicsbusinessMultivariateIndicesJournal of Applied Ecology
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Efficient estimation of generalized linear latent variable models.

2019

Generalized linear latent variable models (GLLVM) are popular tools for modeling multivariate, correlated responses. Such data are often encountered, for instance, in ecological studies, where presence-absences, counts, or biomass of interacting species are collected from a set of sites. Until very recently, the main challenge in fitting GLLVMs has been the lack of computationally efficient estimation methods. For likelihood based estimation, several closed form approximations for the marginal likelihood of GLLVMs have been proposed, but their efficient implementations have been lacking in the literature. To fill this gap, we show in this paper how to obtain computationally convenient estim…

0106 biological sciencesMultivariate statisticsMultivariate analysisComputer scienceBinomials01 natural sciencesPolynomials010104 statistics & probabilityAmoebastilastolliset mallitestimointiProtozoansLikelihood FunctionsMultidisciplinaryApproximation MethodsStatistical ModelsSimulation and ModelingApplied MathematicsStatisticsQLinear modelREukaryotaLaplace's methodData Interpretation StatisticalPhysical SciencesVertebratesMedicineAlgorithmAlgorithmsResearch ArticleOptimizationScienceLatent variableResearch and Analysis Methods010603 evolutionary biologygeneralized linear latent variable modelsSet (abstract data type)BirdsAnimalsComputer Simulation0101 mathematicsta112OrganismsBiology and Life SciencesStatistical modelMarginal likelihoodAlgebraAmniotesMultivariate AnalysisLinear ModelsMathematicsSoftwarePLoS ONE
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Sampling effort and information quality provided by rare and common species in estimating assemblage structure

2020

Made available in DSpace on 2020-12-12T01:06:11Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-03-01 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Academy of Finland Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Reliable biological assessments are essential to answer ecological and management questions but require well-designed studies and representative sample sizes. However, large sampling effort is rarely possible, because it demands large financial resources and time, restricting the number of sites sampled, the duration of the study and the sampling effort at each site. In…

0106 biological sciencesMultivariate statisticsRare speciesDIVERSITYGeneral Decision SciencesSUFFICIENTContext (language use)MACROINVERTEBRATE010501 environmental sciences010603 evolutionary biology01 natural sciencesProcrustesCommon speciesAbundance (ecology)EXCLUSIONStatisticsCommunity ecologyEcology Evolution Behavior and SystematicsMinimal sampling effort0105 earth and related environmental sciencesMathematicsEcologyStream insectsSampling (statistics)15. Life on landENVIRONMENTAL HETEROGENEITYCOMMUNITYBiological diversitySTREAM1181 Ecology evolutionary biologyBIODIVERSITYABUNDANCEOrdinationProcrustes analysisRICHNESS PATTERNSEcological Indicators
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A multivariate morphometric analysis of diagnostic traits in southern Italy and Sicily pubescent oaks

2020

AbstractSpecies identification within the species complex ofQ. pubescensis a well-known taxonomic challenge among European botanists. Some of the specific pubescent oak binomials currently accepted in various European floras and checklists were originally described in Sicily and southern Calabria. As a consequence, several species belonging to the pubescent oaks group (Q. pubescens,Q. amplifolia,Q. congesta,Q. dalechampii,Q. leptobalanaandQ. virgiliana) are reported in the taxonomic and phytosociological literature. To verify whether it was possible to associate a diverse set of morphological characters with each of these different taxa, thirteen natural populations of pubescent oak from Si…

0106 biological sciencesMultivariate statisticsSpecies complexdiagnostic morphological charactersdiagnostic morphological characters; nomenclature; quercus; southern Europe; taxonomyPaleontologyZoologyPlant ScienceBiology010603 evolutionary biology01 natural sciencesPlant ecologysouthern EuropetaxonomyTaxonDiagnostic morphological characters Nomenclature Quercus Southern Europe TaxonomyBotánicaTaxonomy (biology)Identification (biology)nomenclaturequercusNomenclature010606 plant biology & botany
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Nucleotide Variability at the Acetyl Coenzyme A Carboxylase Gene and the Signature of Herbicide Selection in the Grass Weed Alopecurus myosuroides (H…

2004

Acetyl coenzyme A carboxylase (ACCase) is the target of highly effective herbicides. We investigated the nucleotide variability of the ACCase gene in a sample of 18 black-grass (Alopecurus myosuroides [Huds.]) populations to search for the signature of herbicide selection. Sequencing 3,396 bp encompassing ACCase herbicide-binding domain in 86 individuals revealed 92 polymorphisms, which formed 72 haplotypes. The ratio of nonsynonymous versus synonymous substitutions was very low, in agreement with ACCase being a vital metabolic enzyme. Within black grass, most nonsynonymous substitutions were related to resistance to ACCase-inhibiting herbicides. Differentiation between populations was stro…

0106 biological sciencesNonsynonymous substitutionMolecular Sequence DataStatistics as TopicBiologyGenes PlantPoaceae01 natural sciencesLinkage DisequilibriumNucleotide diversity03 medical and health sciences[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular BiologyGeneticsVULPIN[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyMolecular BiologyGeneAllelesPhylogenyComputingMilieux_MISCELLANEOUSEcology Evolution Behavior and SystematicsSelection (genetic algorithm)030304 developmental biologychemistry.chemical_classificationGenetics0303 health sciencesPolymorphism GeneticBase SequenceModels GeneticHaplotypeAlopecurus myosuroidesGenetic VariationDNASequence Analysis DNAPesticidebiology.organism_classificationProtein Structure TertiaryEnzymeHaplotypeschemistrySoftwareAcetyl-CoA Carboxylase010606 plant biology & botanyMolecular Biology and Evolution
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