Search results for "Statistic"

showing 10 items of 12520 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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A Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data

2018

This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. In particular, we present global maps at 500 m resolution of specific leaf area, leaf dry matter content, leaf nitrogen and phosphorus content per dry mass, and leaf nitrogen/phosphorus ratio. The processing chain exploits machine learning techniques along with optical remote sensing data (MODIS/Landsat) and climate data for gap filling and up-scaling of in-situ measured leaf traits. The chain first uses random forests regression with surrogates to fill gaps in the database (> 45% of missing entries) and maximizes the global representativeness of the trait dataset. Plant species are then a…

0106 biological sciencesFOS: Computer and information sciences010504 meteorology & atmospheric sciencesSpecific leaf areaClimateBos- en LandschapsecologieSoil ScienceFOS: Physical sciencesApplied Physics (physics.app-ph)010603 evolutionary biology01 natural sciencesStatistics - ApplicationsGoodness of fitAbundance (ecology)Machine learningForest and Landscape EcologyApplications (stat.AP)Computers in Earth SciencesPlant ecologyVegetatie0105 earth and related environmental sciencesRemote sensingMathematics2. Zero hungerPlant traitsVegetationData stream miningClimate; Landsat; Machine learning; MODIS; Plant ecology; Plant traits; Random forests; Remote sensing; Soil Science; Geology; Computers in Earth SciencesGlobal MapRegression analysisGeologyPhysics - Applied Physics15. Life on landRandom forestsRemote sensingPE&RCRandom forestMODISTraitVegetatie Bos- en LandschapsecologieVegetation Forest and Landscape EcologyLandsat
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The past and the present in decision-making: the use of conspecific and heterospecific cues in nest site selection

2014

International audience; Nest site selection significantly affects fitness, so adaptations for assessment of the qualities of available sites are expected. The assessment may be based on personal or social information, the latter referring to the observed location and performance of both conspecific and heterospecific individuals. Contrary to large-scale breeding habitat selection, small-scale nest site selection within habitat patches is insufficiently understood. We analyzed nest site selection in the migratory Collared Flycatcher Ficedula albicollis in relation to present and past cues provided by conspecifics and by resident tits within habitat patches by using long-term data. Collared F…

0106 biological sciencesFicedula albicollismedia_common.quotation_subject[SDV]Life Sciences [q-bio]Bayesian statistics010603 evolutionary biology01 natural sciencesCompetition (biology)Nest0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyEcology Evolution Behavior and SystematicsSelection (genetic algorithm)media_commonParusbiologyReproductive successEcologyprospecting05 social sciencesheterospecific attractionInterspecific competitionbiology.organism_classificationsocial informationconspecific attractionHabitatcompetition
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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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Potential of using data assimilation to support forest planning

2017

Uncertainty in forest information typically results in economic and ecological losses as a consequence of suboptimal management decisions. Several techniques have been proposed to handle such uncertainties. However, these techniques are often complex and costly. Data assimilation (DA) has recently been advocated as a tool that may reduce the uncertainty, thereby improving the quality of forest planning results. It offers an opportunity to make use of all new sources of information in a systematic way and thus provides more accurate and up-to-date information to forest planning. In this study, we refer to literature on handling uncertainties in forest planning, as well as related literature…

0106 biological sciencesForest planningGlobal and Planetary Change010504 meteorology & atmospheric sciencesEcologyOperations researchProcess (engineering)Computer sciencemedia_common.quotation_subjectForestry01 natural sciencesBayesian statisticsData assimilationStochastic optimizationQuality (business)010606 plant biology & botany0105 earth and related environmental sciencesmedia_commonCanadian Journal of Forest Research
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Divergence is not speciation, or why we need females : a comment on Tinghitella et al

2018

Postprint Peer reviewed

0106 biological sciencesGEQH301 Biology05 social sciencesT-NDASfemalesBiology010603 evolutionary biology01 natural sciencescommentQH301sukupuolivalintaspeciationEvolutionary biologyGenetic algorithmta11810501 psychology and cognitive sciencesAnimal Science and Zoologylajiutuminen050102 behavioral science & comparative psychologyDivergence (statistics)divergenceEcology Evolution Behavior and SystematicsGE Environmental SciencesBehavioral Ecology
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Fine-scale spatial genetic structure and gene dispersal in Silene latifolia

2010

Plants are sessile organisms, often characterized by limited dispersal. Seeds and pollen are the critical stages for gene flow. Here we investigate spatial genetic structure, gene dispersal and the relative contribution of pollen vs seed in the movement of genes in a stable metapopulation of the white campion Silene latifolia within its native range. This short-lived perennial plant is dioecious, has gravity-dispersed seeds and moth-mediated pollination. Direct measures of pollen dispersal suggested that large populations receive more pollen than small isolated populations and that most gene flow occurs within tens of meters. However, these studies were performed in the newly colonized rang…

0106 biological sciencesGene FlowChloroplast DnaPollinationSeed dispersalSeed dispersalHadena-Bicrurismedicine.disease_causeGenes Plant010603 evolutionary biology01 natural sciences03 medical and health sciencesPollinatorPollenGeneticsmedicineSilene latifoliaSileneGenetics (clinical)030304 developmental biologyIsolation by distance2. Zero hunger0303 health sciences[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]biologyEcologyta1184Plant-population sizeGenetic Variationfood and beveragesbiology.organism_classificationY-ChromosomeDioica CaryophyllaceaeGynodioecious plantF-StatisticsGenetic structureSeedsPollen dispersalta1181Biological dispersalPollenAutocorrelation analysisOriginal ArticleMicrosatellite Repeats
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Incorporating Biotic Information in Species Distribution Models: A Coregionalized Approach

2021

In this work, we discuss the use of a methodological approach for modelling spatial relationships among species by means of a Bayesian spatial coregionalized model. Inference and prediction is performed using the integrated nested Laplace approximation methodology to reduce the computational burden. We illustrate the performance of the coregionalized model in species interaction scenarios using both simulated and real data. The simulation demonstrates the better predictive performance of the coregionalized model with respect to the univariate models. The case study focus on the spatial distribution of a prey species, the European anchovy (Engraulis encrasicolus), and one of its predator spe…

0106 biological sciencesGeneral MathematicsSpecies distributionBayesian probabilityspeciescoregionalized modelsBayesian hierarchical models010603 evolutionary biology01 natural sciences010104 statistics & probabilitymodelsEngraulisHakeAnchovyStatisticsComputer Science (miscellaneous)INLAdistributionEuropean anchovyPesqueríasCentro Oceanográfico de Murcia0101 mathematicsEngineering (miscellaneous)SPDEfishspecies interactionbiologymathematicslcsh:MathematicsUnivariateMerluccius merlucciusbiology.organism_classificationlcsh:QA1-939fisheriesEnvironmental sciencepredation
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Can Mating Disruption Be a Possible Route to Control Plum Fruit Moth in Mediterranean Environments?

2020

Simple Summary Grapholita funebrana is a main pest of plum throughout the Palearctic region. The management of this pest is generally carried out with chemical insecticides. In this study we investigated the suitability of the mating disruption as alternative method of control of this pest. Experiments were carried out in organic plum orchards during 2012 and 2014. Trap catches and fruit sampling were carried out to estimate the efficacy of this technique in reducing males catch and fruit infestation. The results indicated that the males caught in traps placed in the treatment plots was always significantly lower than untreated plots. The chemical analysis of the pheromone emission from the…

0106 biological sciencesIntegrated pest managementTortricidaeGrapholita funebranaMating disruptionsex pheromonemedicine.disease_cause010603 evolutionary biology01 natural sciencesArticleLepidoptera genitaliapheromoneInfestationmedicineTortricidaelcsh:ScienceGrapholita funebranabiologyintegrated pest managementSettore SECS-S/02 - Statistica Per La Ricerca Sperimentale E Tecnologica<i>Grapholita funebrana</i>food and beveragesorganic plum orchardsbiology.organism_classification010602 entomologyHorticultureprunusSettore AGR/11 - Entomologia Generale E ApplicataInsect ScienceSex pheromonePheromonelcsh:Qsex pheromonesInsects
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Unsupervised Classification of Acoustic Echoes from Two Krill Species in the Southern Ocean (Ross Sea)

2021

This work presents a computational methodology able to automatically classify the echoes of two krill species recorded in the Ross sea employing scientific echo-sounder at three different frequencies (38, 120 and 200 kHz). The goal of classifying the gregarious species represents a time-consuming task and is accomplished by using differences and/or thresholds estimated on the energy features of the insonified targets. Conversely, our methodology takes into account energy, morphological and depth features of echo data, acquired at different frequencies. Internal validation indices of clustering were used to verify the ability of the clustering in recognizing the correct number of species. Th…

0106 biological sciencesKrillbiologybusiness.industry010604 marine biology & hydrobiologyEuphausiaSettore MAT/01 - Logica MatematicaEuphausia crystallorophiasbiology.organism_classificationSpatial distributionMachine learning for pelagic species classification01 natural sciencesKrill identification010104 statistics & probabilityRoss SeaAcoustic dataArtificial intelligence0101 mathematicsCluster analysisbusinessRelative species abundanceGeologyEnergy (signal processing)Global biodiversityRemote sensing
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