Search results for "statistical [Methods]"

showing 10 items of 1664 documents

Body growth and its implications in population dynamics of Acanthodactylus erythrurus (Schinz, 1834) in the Eastern Iberian peninsula

2019

Abstract We calculated growth rate for the spiny-footed lizard (Acanthodactylus erythrurus) inhabiting coastal eastern Spain from long-term mark-recapture data. Growth curves differ between sexes, with males growing faster than females and achieving larger size maximums. In this population each sex reaches maturity at about 300 days of age, approximately 34% faster than males, and 28% faster than females studied in a population further south and west in Iberia. Our logarithmic growth model has an accuracy of 96.8% and high statistical significance ( for males and for females). Although both the exponential curve of “best fit” for growth estimated for males (), and the linear curve of “best …

0106 biological sciencesAcanthodactylus erythrurusgeographyeducation.field_of_studygeography.geographical_feature_categoryLife spanLizardPopulation010607 zoologyBiologybiology.organism_classification010603 evolutionary biology01 natural sciencesPeninsulaStatistical significanceData cloudbiology.animalAnimal Science and ZoologyeducationEcology Evolution Behavior and SystematicsDemographyAmphibia-Reptilia
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Decoding Group Vocalizations: The Acoustic Energy Distribution of Chorus Howls Is Useful to Determine Wolf Reproduction

2016

Population monitoring is crucial for wildlife management and conservation. In the last few decades, wildlife researchers have increasingly applied bioacoustics tools to obtain information on several essential ecological parameters, such as distribution and abundance. One such application involves wolves (Canis lupus). These canids respond to simulated howls by emitting group vocalizations known as chorus howls. These responses to simulated howls reveal the presence of wolf litters during the breeding period and are therefore often used to determine the status of wolf populations. However, the acoustic structure of chorus howls is complex and discriminating the presence of pups in a chorus i…

0106 biological sciencesEntropyPopulation Dynamicslcsh:MedicineWildlife01 natural sciencesVocalizationMathematical and Statistical Techniqueslcsh:ScienceAnimal Signaling and CommunicationIberian wolfMammalseducation.field_of_studyMultidisciplinarybiologyAnimal BehaviorBehavior AnimalEcologyPhysicsReproductionAcoustic energyCanisPhysical SciencesVertebratesThermodynamicsCartographyStatistics (Mathematics)Research ArticleConservation of Natural ResourcesBioacousticsAnimal TypesPopulationResearch and Analysis Methods010603 evolutionary biologyCoyotesAcoustic SignalsAnimalsWildlife managementStatistical MethodseducationEcosystemBehaviorWolvesReproductive success010604 marine biology & hydrobiologylcsh:RChorusOrganismsBiology and Life SciencesAcousticsJackalsModels Theoreticalbiology.organism_classificationAmnioteslcsh:QVocalization AnimalZoologyBioacousticsMathematicsForecasting
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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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Spatiotemporal Structure of Host‐Pathogen Interactions in a Metapopulation

2009

International audience; The ecological and evolutionary dynamics of species are influenced by spatiotemporal variation in population size. Unfortunately, we are usually limited in our ability to investigate the numerical dynamics of natural populations across large spatial scales and over long periods of time. Here we combine mechanistic and statistical approaches to reconstruct continuous-time infection dynamics of an obligate fungal pathogen on the basis of discrete-time occurrence data. The pathogen, Podosphaera plantaginis, infects its host plant, Plantago lanceolata, in a metapopulation setting where the presence of the pathogen has been recorded annually for 6 years in similar to 4,00…

0106 biological sciencesPODOSPHAERA PLANTAGINISMetapopulationRELATION PLANTE-PATHOGENEBiologyENCOUNTER RATE010603 evolutionary biology01 natural sciences03 medical and health sciencesAscomycotaHOST-PARASITE INTERACTIONAnimals[INFO]Computer Science [cs]MECHANISTIC-STATISTICAL MODEL[MATH]Mathematics [math]Evolutionary dynamicsPlantagoFinlandEcology Evolution Behavior and SystematicsOverwinteringCoevolutionPlant Diseases030304 developmental biologyLocal adaptation0303 health sciencesObligateHost (biology)EcologyCOEVOLUTIONPopulation sizeBiological EvolutionSURVIVAL PROBABILITYTEMPORAL STABILITYPLANTAGO LANCELOLATAHost-Pathogen InteractionsSeasonsAlgorithmsThe American Naturalist
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Risk of predation makes foragers less choosy about their food.

2017

18 pages; International audience; Animals foraging in the wild have to balance speed of decision making and accuracy of assessment of a food item's quality. If resource quality is important for maximizing fitness, then the duration of decision making may be in conflict with other crucial and time consuming tasks, such as anti-predator behaviours or competition monitoring. Individuals facing the risk of predation and/or competition should adjust the duration of decision making and, as a consequence, their level of choosiness for resources. When exposed to predation, the forager could either maintain its level of choosiness for food items but accept a reduction in the amount of food items con…

0106 biological sciencesPhysiologylcsh:MedicinePredationSocial SciencesKaplan-Meier EstimateChoice Behavior01 natural sciencesPredationCognitionMathematical and Statistical TechniquesBeetlesMedicine and Health Sciences[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisPsychologyForagingDecision-makinglcsh:Sciencemedia_common2. Zero hungerMultidisciplinaryEcologyAnimal BehaviorEcology05 social sciencesEukaryotaPlantsTrophic InteractionsInsectsCommunity EcologyPhysical SciencesSeedsStatistics (Mathematics)Research ArticleRiskOpportunity costArthropodaMovementmedia_common.quotation_subjectDecision MakingForagingBiologyResearch and Analysis Methods010603 evolutionary biologyIntraspecific competitionCompetition (biology)Food PreferencesAnimals0501 psychology and cognitive sciencesQuality (business)050102 behavioral science & comparative psychologyStatistical MethodsBehavior[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologylcsh:REcology and Environmental SciencesCognitive PsychologyFood ConsumptionOrganismsBiology and Life SciencesInterspecific competitionInvertebratesFoodPredatory BehaviorCognitive Sciencelcsh:QWeeds[SDE.BE]Environmental Sciences/Biodiversity and EcologyPhysiological ProcessesZoologyMathematicsNeuroscienceGeneralized Linear ModelDemography[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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An Empirical Evaluation of the Utility of Convex Hull and Standard Ellipse Areas for Assessing Population Niche Widths from Stable Isotope Data

2013

Stable isotope analyses are increasingly employed to characterise population niche widths. The convex hull area (TA) in a δ¹³C–δ¹⁵N biplot has been used as a measure of isotopic niche width, but concerns exist over its dependence on sample size and associated difficulties in among-population comparisons. Recently a more robust method was proposed for estimating and comparing isotopic niche widths using standard ellipse areas (SEA), but this approach has yet to be tested with empirical stable isotope data. The two methods measure different kind of isotopic niche areas, but both are now widely used to characterise isotopic niche widths of populations. We used simulated data and an extensive e…

0106 biological sciencesPopulation Dynamicslcsh:MedicinePopulation Modeling01 natural sciencesTheoretical EcologyFood Web StructureStatisticsRange (statistics)lcsh:ScienceFreshwater EcologyCarbon Isotopeseducation.field_of_studyMultidisciplinaryEcologyδ13CEcologyStable isotope ratioStatisticsFishesBiogeochemistryisotopic nicheTrophic Interactionstrophic nicheCommunity Ecologyconvex hullResearch ArticlePopulationNichestable isotopesBiostatistics010603 evolutionary biologyNiche ConstructionNormal distributionBayesian ellipse areavakaat isotoopitAnimals14. Life underwaterStatistical MethodseducationBiologyEcological nicheNitrogen Isotopes010604 marine biology & hydrobiologylcsh:RComputational BiologySpecies InteractionsSample size determinationSample SizeravintolokeroEnvironmental scienceta1181lcsh:QPopulation EcologyEcosystem ModelingMathematicsPLOS ONE
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The irreducible uncertainty of the demography–environment interaction in ecology

2002

The interpretation of ecological data has been greatly improved by bridging the gap between ecological and statistical models. The major challenge is to separate competing hypotheses concerning demography, or other ecological relationships, and environmental variability (noise). In this paper we demonstrate that this may be an arduous, if not impossible, task. It is the lack of adequate ecological theory, rather than statistical sophistication, which leads to this problem. A reconstruction of underlying ecological processes can only be done if we are certain of either the demographic or the noise model, which is something that can only be achieved by an improved theory of stochastic ecologi…

0106 biological sciencesTime Factorsmedia_common.quotation_subjectPopulation DynamicsBiologyEcological systems theoryModels Biological010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyEcological relationshipEconometricsAnimalsNatural ecosystemEnvironmental noiseSophisticationEcosystemGeneral Environmental Sciencemedia_commonStochastic ProcessesModels StatisticalGeneral Immunology and MicrobiologyEcologyStochastic process010604 marine biology & hydrobiologySystem identificationStatistical modelGeneral MedicineBiological Sciences13. Climate actionGeneral Agricultural and Biological SciencesResearch ArticleDemographyProceedings of the Royal Society of London. Series B: Biological Sciences
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Statistical modelling and RCS detrending methods provide similar estimates of long-term trend in radial growth of common beech in north-eastern France

2011

International audience; Dendrochronological methods have greatly contributed to the documentation of past long-term trends in forest growth. These methods primarily focus on the high-frequency signals of tree ring chronologies. They require the removal of the ageing trend in tree growth, known as 'standardisation' or 'detrending', as a prerequisite to the estimation of such trends. Because the approach is sequential, it may however absorb part of the low-frequency historical signal. In this study, we investigate the effect of a sequential and a simultaneous estimation of the ageing trend on the chronology of growth. We formerly developed a method to estimate historical changes in growth, in…

0106 biological sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciences010504 meteorology & atmospheric sciencesFagus sylvatica[SDE.MCG]Environmental Sciences/Global ChangesMagnitude (mathematics)FOREST DECLINEstandardisationPlant Sciencegrowth trends01 natural sciencesAGING[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsFagus sylvatica[SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture forestryFORESTSSampling designDendrochronologyEconometricsSOIL FERTILITYHETRE COMMUNstatistical modellingBeech0105 earth and related environmental sciencesEstimationSequential estimation[STAT.AP]Statistics [stat]/Applications [stat.AP]EcologybiologydendrochronologyDEVELOPMENTAL STAGES ESTIMATIONSampling (statistics)STATISTICAL ANALYSIS15. Life on landbiology.organism_classificationEnvironmental scienceGROWTH Physical geographyGROWTH RINGS010606 plant biology & botany
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Priorities for research in soil ecology

2017

The ecological interactions that occur in and with soil are of consequence in many ecosystems on the planet. These interactions provide numerous essential ecosystem services, and the sustainable management of soils has attracted increasing scientific and public attention. Although soil ecology emerged as an independent field of research many decades ago, and we have gained important insights into the functioning of soils, there still are fundamental aspects that need to be better understood to ensure that the ecosystem services that soils provide are not lost and that soils can be used in a sustainable way. In this perspectives paper, we highlight some of the major knowledge gaps that shoul…

0106 biological sciencesaboveground-belowground interactionsSoil biodiversityAboveground-belowground interactionssoil processesWiskundige en Statistische Methoden - Biometris01 natural sciencesEcosystem servicesekosysteemitSoil managementMicrobial ecologyNovel environmentsSoil food webClimate changeGlobal change2. Zero hungerSoil healthbiodiversity–ecosystem functioningEcologySoil Biology04 agricultural and veterinary sciencesSoil processesPE&RCclimate changeekosysteemipalvelutGeographyBiogeographyinternationalSoil managementBiodiversity–ecosystem functioningplant-microbe interactionsSoil Sciencesoil biodiversityChemical ecologyAboveground-belowground interactions; Biodiversity–ecosystem functioning; Biogeography; Chemical ecology; Climate change; Ecosystem services; Global change; Microbial ecology; Novel environments; Plant-microbe interactions; Soil biodiversity; Soil food web; Soil management; Soil processes010603 evolutionary biologyArticleeliömaantiedesoil food webSoil governanceSoil food webSoil ecologyEcosystem servicesMathematical and Statistical Methods - BiometrisEnvironmental planningBodembiologieglobal changeEcology Evolution Behavior and Systematicsmaaperänsuojeluchemical ecology15. Life on landSoil biodiversitybiodiversiteettiekosysteemit (ekologia)mikrobiekologia13. Climate actionSustainable management040103 agronomy & agricultureta1181ilmastonmuutosnovel environments0401 agriculture forestry and fisheriessoil managementPlant-microbe interactions
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A validity and reliability study of Conditional Entropy Measures of Pulse Rate Variability

2019

In this work, we present the feasibility to use a simpler methodological approach for the assessment of the short-term complexity of Heart Rate Variability (HRV). Specifically, we propose to exploit Pulse Rate Variability (PRV) recorded through photoplethysmography in place of HRV measured from the ECG, and to compute complexity via a linear Gaussian approximation in place of the standard model-free methods (e.g., nearest neighbor entropy estimates) usually applied to HRV. Linear PRV-based and model-free HRV-based complexity measures were compared via statistical tests, correlation analysis and Bland-Altman plots, demonstrating an overall good agreement. These results support the applicabil…

020205 medical informaticsComputer scienceEntropy0206 medical engineeringValidity02 engineering and technologySettore ING-INF/01 - ElettronicaElectrocardiographyPulse Rate Variability (PRV)Heart RatePhotoplethysmogram0202 electrical engineering electronic engineering information engineeringHumansEntropy (information theory)Heart rate variabilityEntropy (energy dispersal)Time seriesPhotoplethysmographyEntropy (arrow of time)Statistical hypothesis testingConditional entropyEntropy (statistical thermodynamics)Reproducibility of ResultsHeart Rate Variability (HRV)020601 biomedical engineeringSettore ING-INF/06 - Bioingegneria Elettronica E InformaticacomplexityAlgorithmEntropy (order and disorder)2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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