Search results for "ESTIMATION"

showing 10 items of 924 documents

Reproductive timing and individual fitness

2002

Estimation of individual fitness – i.e. description of the extent to which an individual's genes are represented in future generations – is a feature central to most evolutionary studies. Lifetime reproductive success (LRS) is a commonly used estimate of individual fitness, but because it is rate-insensitive (i.e. timing of reproductive events is not incorporated), it may give a biased estimate of fitness when reproductive timing is an important component of fitness. A review of all empirical studies which have used a recently derived, rate-sensitive estimate of individual fitness, λind revealed that λind ranks the fitness of phenotypes differently from LRS, and that this difference may lea…

0106 biological sciencesEstimation0303 health sciencesReproductive successEcologyContrast (statistics)Phenotypic traitBiology010603 evolutionary biology01 natural sciencesGenetic loadTest (assessment)03 medical and health sciencesEmpirical researchEcology Evolution Behavior and SystematicsSelection (genetic algorithm)030304 developmental biologyEcology Letters
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Thompson Sampling Based Active Learning in Probabilistic Programs with Application to Travel Time Estimation

2019

The pertinent problem of Traveling Time Estimation (TTE) is to estimate the travel time, given a start location and a destination, solely based on the coordinates of the points under consideration. This is typically solved by fitting a function based on a sequence of observations. However, it can be expensive or slow to obtain labeled data or measurements to calibrate the estimation function. Active Learning tries to alleviate this problem by actively selecting samples that minimize the total number of samples needed to do accurate inference. Probabilistic Programming Languages (PPL) give us the opportunities to apply powerful Bayesian inference to model problems that involve uncertainties.…

0106 biological sciencesEstimation0303 health sciencesSequenceActive learning (machine learning)business.industryComputer scienceProbabilistic logicInferenceFunction (mathematics)Bayesian inferenceMachine learningcomputer.software_genre010603 evolutionary biology01 natural sciences03 medical and health sciencesArtificial intelligencebusinesscomputerThompson sampling030304 developmental biology
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Evaluation of three methods for biomass estimation in small invertebrates, using three large disparate parasite species as model organisms

2018

AbstractInvertebrate biomass is considered one of the main factors driving processes in ecosystems. It can be measured directly, primarily by weighing individuals, but more often indirect estimators are used. We developed two indirect and non-destructive approaches to estimate biomass of small invertebrates in a simple manner. The first one was based on clay modelling and the second one was based on image analysis implemented with open-source software. Furthermore, we tested the accuracy of the widely used geometric approximation method (third method). We applied these three different methods to three morphologically disparate model species, an acanthocephalan worm, a crustacean and a flatw…

0106 biological sciencesEstimationBiomass (ecology)Multidisciplinary010604 marine biology & hydrobiologylcsh:RGeometric approximationlcsh:MedicineEstimator010603 evolutionary biology01 natural sciencesBiodiversitatArticleZoologialcsh:Qlcsh:ScienceBiological systemMathematicsInvertebrateScientific Reports
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Comparison of Bayesian and numerical optimization-based diet estimation on herbivorous zooplankton

2020

Consumer diet estimation with biotracer-based mixing models provides valuable information about trophic interactions and the dynamics of complex ecosystems. Here, we assessed the performance of four Bayesian and three numerical optimization-based diet estimation methods for estimating the diet composition of herbivorous zooplankton using consumer fatty acid (FA) profiles and resource library consisting of the results of homogeneous diet feeding experiments. The method performance was evaluated in terms of absolute errors, central probability interval checks, the success in identifying the primary resource in the diet, and the ability to detect the absence of resources in the diet. Despite …

0106 biological sciencesFood ChainBayesian probability010603 evolutionary biology01 natural sciencesZooplanktonGeneral Biochemistry Genetics and Molecular BiologyDistance measuresZooplanktonFASTARStatisticsAnimalsravintoaineetMixSIARHerbivoryMathematicsTrophic levelestimointi2. Zero hungerEstimationHerbivorefood web010604 marine biology & hydrobiologybayesilainen menetelmäplanktonFatty AcidsBayes TheorembiotracersArticlesFood webDietDaphniaQFASAvesikirputGeneral Agricultural and Biological SciencesEstimation methodsravintoverkotFood Analysis
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Precision, Applicability, and Economic Implications: A Comparison of Alternative Biodiversity Offset Indexes

2021

AbstractThe rates of ecosystem degradation and biodiversity loss are alarming and current conservation efforts are not sufficient to stop them. The need for new tools is urgent. One approach is biodiversity offsetting: a developer causing habitat degradation provides an improvement in biodiversity so that the lost ecological value is compensated for. Accurate and ecologically meaningful measurement of losses and estimation of gains are essential in reaching the no net loss goal or any other desired outcome of biodiversity offsetting. The chosen calculation method strongly influences biodiversity outcomes. We compare a multiplicative method, which is based on a habitat condition index develo…

0106 biological sciencesINDICATORSConservation of Natural Resourcesekologinen kompensaatioköyhtyminenBiodiversity offsettingOffset (computer science)arviointimenetelmätComputer scienceCONSERVATIONBiodiversityDIVERSITY010603 evolutionary biology01 natural sciencesOutcome (game theory)ArticleRICHNESSAdditive functionEconometricsEcosystem1172 Environmental sciencesRESTORATIONEstimationMotivationGlobal and Planetary ChangeEcology010604 marine biology & hydrobiologyMultiplicative functionkustannustehokkuusEcological compensationBiodiversity15. Life on landFINLANDluonnon monimuotoisuusPollutionBiodiversity calculation methodkompensointibiodiversiteettiECOLOGICAL EQUIVALENCEINSIGHTSHabitat destructionBiodiversity offsetting13. Climate actionPOLYPORESNo net losslaskentamallit511 EconomicsTrade ratioDEAD WOOD
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The analysis of convergence in ecological indicators: An application to the Mediterranean fisheries

2017

9 pages, 4 figures, 3 tables

0106 biological sciencesMediterranean climateIndex (economics)[SDE.MCG]Environmental Sciences/Global ChangesFishingGeneral Decision SciencesTransition probability matrix;Sede Central IEOtMediterranean sea010603 evolutionary biology01 natural sciencesEcological indicatorsMediterranean sea[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsEcosystem approach to fisheries managemenConvergence analysisMediterranean SeaEcosystemEcosystem approach to fisheries management14. Life underwaterEcology Evolution Behavior and SystematicsTrophic levelEstimationEcologybusiness.industry010604 marine biology & hydrobiologyEnvironmental resource managementTransition probability matrixFisheryEcological indicatorGeographyNon-parametric density estimation[SDV.SA.STP]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of fishery[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusiness
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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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The "Tracked Roaming Transect" and distance sampling methods increase the efficiency of underwater visual censuses.

2018

Underwater visual census (UVC) is the most common approach for estimating diversity, abundance and size of reef fishes in shallow and clear waters. Abundance estimation through UVC is particularly problematic in species occurring at low densities and/or highly aggregated because of their high variability at both spatial and temporal scales. The statistical power of experiments involving UVC techniques may be increased by augmenting the number of replicates or the area surveyed. In this work we present and test the efficiency of an UVC method based on diver towed GPS, the Tracked Roaming Transect (TRT), designed to maximize transect length (and thus the surveyed area) with respect to diving …

0106 biological sciencesTopographyMarine and Aquatic Scienceslcsh:Medicine01 natural sciences//purl.org/becyt/ford/1 [https]Abundance (ecology)StatisticsRange (statistics)Marine Fishlcsh:ScienceIslandsAbundance estimationMultidisciplinaryDistance samplingUnderwater visual censusesAnimal BehaviorEcologyCoral ReefsGeographic Information SystemFishesEukaryotaEstimatorBiodiversityResearch DesignVertebratesEngineering and TechnologyCoral ReefCIENCIAS NATURALES Y EXACTASHumanResearch ArticleEnvironmental MonitoringCensusAccuracy and precisionFish BiologyField experimentEquipmentMarine BiologyResearch and Analysis Methods010603 evolutionary biologyCiencias BiológicasFish PhysiologyAnimal PhysiologyAnimalsHumans14. Life underwater//purl.org/becyt/ford/1.6 [https]TransectVision OcularBehaviorLandformsSurvey ResearchAnimal010604 marine biology & hydrobiologyEcology and Environmental Scienceslcsh:ROrganismsBiology and Life SciencesGeomorphologyEcologíaVertebrate PhysiologyTracked roaming transectFishEarth SciencesReefsGeographic Information SystemsEnvironmental sciencelcsh:QZoologyFishePLoS ONE
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Global endemics-area relationships of vascular plants

2019

Endemics–Area Relationships (EARs)are fundamental in theoretical and applied biogeography for understanding distribution patterns and promoting biodiversity conservation. However, calculating EARs for vascular plant species from existing data is problematic because of biased knowledge of endemic species distributions and differences between taxonomies. We aimed to overcome these challenges by developing a new standardized global dataset based on expert knowledge to produce a set of global EARs. We developed a nested circle design, with grain sizes of 10 4 , 10 5 , 10 6 , 10 7 , and 10 8 km 2 , respectively, and a global distribution of plots based on a stratified random scheme. The number …

0106 biological sciencesVascular plantZero-endemic plotslcsh:QH1-199.5Range (biology)Biogeographylcsh:General. Including nature conservation geographical distributionManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciencesMinimum and maximum estimatelcsh:QH540-549.5StatisticsEndemismZero-endemic plotNature and Landscape ConservationEstimationbiologyEcology010604 marine biology & hydrobiologySampling (statistics)Minimum and maximum estimatesbiology.organism_classificationGeographyGlobal referenceExpert knowledgelcsh:EcologySpecies richnessScale (map)Distribution of land and sea
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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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