Search results for "PROB"

showing 10 items of 8859 documents

Maternal effects and the stability of population dynamics in noisy environments

2001

Summary 1. It is widely appreciated that complex population dynamics are more likely in systems where there is a lag in the density dependence. The transmission of maternal environmental conditions to offspring phenotype is a potential cause of such a lag. Maternal effects are increasingly found to be common in a wide range of organisms, and might thus be a frequent cause of nonequilibrium population dynamics. 2. We show that a maternal effects’ lag generally increases population variability. This may result from the lag inducing cycles (or more complex dynamics) in a deterministic environment or, in a stochastic environment, from the lag interacting with environmental noise to produce more…

0106 biological sciences0303 health scienceseducation.field_of_studyEcologyLagPopulationMaternal effectBiology010603 evolutionary biology01 natural sciencesStability (probability)Life history theory03 medical and health sciencesComplex dynamicsDensity dependenceEconometricsAnimal Science and ZoologyEnvironmental noiseeducationEcology Evolution Behavior and Systematics030304 developmental biologyJournal of Animal Ecology
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Environmental and ontogenetic constraints on developmental stability in the spatangoid sea urchin Echinocardium (Echinoidea)

2006

Biogeosciences, UMR-CNRS 5561, Universite de Bourgogne, 6 bd Gabriel, 21000 Dijon, FranceReceived 25 June 2004; accepted for publication 25 July 2005Spatangoid irregular sea urchins are detritivorous benthic organisms particularly prone to variations of environ-ment, and their mode of growth and plate morphology make them an appropriate model to assess the effects of envi-ronmental variations. Two populations of Echinocardium flavescens were sampled in two sites of the Norwegiancoast characterized by contrasted environmental conditions. Different morphological descriptors (plate areas, inter-landmarks distances, overall size, and shape of the posterior ambulacra) were used to appraise interi…

0106 biological sciences0303 health scienceseducation.field_of_studyEcologyOntogenyPopulationBiologybiology.organism_classification010603 evolutionary biology01 natural sciencesStability (probability)EchinocardiumFluctuating asymmetry03 medical and health sciencesBenthic zonebiology.animal14. Life underwaterBiogeoscienceseducationSea urchinEcology Evolution Behavior and Systematics030304 developmental biologyBiological Journal of the Linnean Society
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Shape, size, and quantity of ingested external abrasives influence dental microwear texture formation in guinea pigs

2020

Food processing wears down teeth, thus affecting tooth functionality and evolutionary success. Other than intrinsic silica phytoliths, extrinsic mineral dust/grit adhering to plants causes tooth wear in mammalian herbivores. Dental microwear texture analysis (DMTA) is widely applied to infer diet from microscopic dental wear traces. The relationship between external abrasives and dental microwear texture (DMT) formation remains elusive. Feeding experiments with sheep have shown negligible effects of dust-laden grass and browse, suggesting that intrinsic properties of plants are more important. Here, we explore the effect of clay- to sand-sized mineral abrasives (quartz, volcanic ash, loess,…

0106 biological sciences10253 Department of Small AnimalsGuinea PigsDental WearMineral dustdiet reconstruction010603 evolutionary biology01 natural sciencesTexture (geology)Texture formation010104 statistics & probabilitychemistry.chemical_compoundstomatognathic systemAnimalsHerbivoryParticle Size0101 mathematicsQuartzgrit2. Zero hunger1000 MultidisciplinaryMultidisciplinary630 AgricultureMetallurgyPlantsBiological SciencesAnimal FeedSilicateDietTooth AbrasionchemistryTooth weartooth wear570 Life sciences; biologyParticle sizedustfeeding experimentProceedings of the National Academy of Sciences
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Conservation of the Grey Bush Cricket Platycleis albopunctata (Orthoptera: Tettigoniidae) Under Differing Habitat Conditions: Implications From an In…

2009

Assessing the chance of survival of any species is a great challenge in conservation biology. In this chapter, we analyse the vulnerability of the grey bush cricket Platycleis albopunctata in habitats of different food availability under current and increased temperature conditions applying an individual-based model. Our simulations show that populations in warmer habitats with a higher food limitation have a much lower extinction risk than those living in habitats that are less food-limited and colder. An increase in mortalities of life stages severely increases the risk of population extinction, whereas a shift in the termination of egg diapause towards the beginning of the year caused by…

0106 biological sciencesAbiotic componenteducation.field_of_studyExtinctionExtinction probabilityEcology010604 marine biology & hydrobiologyPopulationTettigoniidae15. Life on landDiapauseBiologybiology.organism_classification010603 evolutionary biology01 natural sciencesHabitat14. Life underwaterConservation biologyeducation
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Application of hydrolases and probiotic Pediococcus acidilactici BaltBio01 strain for cereal by-products conversion to bioproduct for food/feed

2017

The aim of this study was to apply the enzymatic treatment and fermentation by Pediococcus acidilactici BaltBio01 strain for industrial cereal by-products conversion to food/feed bioproducts with high amount of probiotic lactic acid bacteria (LAB). LAB propagated in potato media and spray-dried remained viable during 12months (7.0 log10 cfu/g) of storage and was used as a starter for cereal by-products fermentation. The changes of microbial profile, biogenic amines (BAs), mycotoxins, lactic acid (Lþ/D), lignans and alkylresorcinols (ARs) contents in fermented cereal by-product were analysed. Cereal by-products enzymatic hydrolysis before fermentation allows to obtain a higher count of LAB d…

0106 biological sciencesAlkylationFood HandlingHydrolases01 natural sciencesmycotoxinlaw.inventionProbioticchemistry.chemical_compoundbiogenic aminelawBioproductscereal by-productFood scienceenzymatic hydrolysiStrain (chemistry)Hydrolysisdigestive oral and skin physiologyfood and beverages04 agricultural and veterinary sciences040401 food scienceFermented FoodslignanBiogenic AminesIndustrial WasteFood ContaminationBiologyLignans0404 agricultural biotechnology010608 biotechnologyEnzymatic hydrolysisAnimalsHumansFood-Processing IndustryMycotoxinPediococcus acidilacticiMicrobial Viabilitybusiness.industryProbioticsPediococcus acidilacticiResorcinolsMycotoxinsbiology.organism_classificationAnimal FeedLatviaBiotechnologychemistryFermentationbacteriaFood AdditivesFermentationalkylresorcinolEdible GrainbusinessFood ScienceInternational Journal of Food Sciences and Nutrition
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Fermented sweet lemon juice (Citrus limetta) using Lactobacillus plantarum LS5: Chemical composition, antioxidant and antibacterial activities

2017

Sweet lemon juice was fermented with Lactobacillus plantarum LS5 to produce a probiotic juice. The cell counts of the L. plantarum LS5 increased from 7.0 ± 0.1 to 8.63 ± 0.38 log CFU/mL during fermentation (37 °C for 48 h) (p < 0.05) and decreased from 8.63 ± 0.38 to 7.14 ± 0.21 log CFU/mL after storage (4 °C for 28 d). Antibacterial activity against S. Typhimurium and E. coli O157:H7 was observed in fermented sweet lemon juice. Immediately after fermentation, pH, lactic acid and antioxidant capacity of the samples increased, while glucose and fructose, total acidity, citric acid and phenolic decreased. During storage, phenolics, and antioxidant decreased in both fermented and non-fermented…

0106 biological sciencesAntioxidantmedicine.medical_treatmentMedicine (miscellaneous)medicine.disease_cause01 natural scienceslaw.inventionE. coli O157:H7Probiotic0404 agricultural biotechnologylawCitrus limetta010608 biotechnologymedicineTX341-641Food scienceChemical compositionEscherichia coliNutrition and DieteticsbiologyChemistryNutrition. Foods and food supplyfood and beverages04 agricultural and veterinary sciencesCitrus limettabiology.organism_classification040401 food sciencecarbohydrates (lipids)Lemon juiceFermentationS. TyphimuriumLactobacillus plantarumFood ScienceLactobacillus plantarumSweet lemon juiceJournal of Functional Foods
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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
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Data synergy between leaf area index and clumping index Earth Observation products using photon recollision probability theory

2018

International audience; Clumping index (CI) is a measure of foliage aggregation relative to a random distribution of leaves in space. The CI can help with estimating fractions of sunlit and shaded leaves for a given leaf area index (LAI) value. Both the CI and LAI can be obtained from global Earth Observation data from sensors such as the Moderate Resolution Imaging Spectrometer (MODIS). Here, the synergy between a MODIS-based CI and a MODIS LAI product is examined using the theory of spectral invariants, also referred to as photon recollision probability ('p-theory'), along with raw LAI-2000/2200 Plant Canopy Analyzer data from 75 sites distributed across a range of plant functional types.…

0106 biological sciencesCanopyEarth observationPhoton010504 meteorology & atmospheric sciencesF40 - Écologie végétalehttp://aims.fao.org/aos/agrovoc/c_1920Soil Science01 natural sciencesMeasure (mathematics)http://aims.fao.org/aos/agrovoc/c_7701Multi-angle remote sensingProbability theoryhttp://aims.fao.org/aos/agrovoc/c_718Foliage clumping indexRange (statistics)http://aims.fao.org/aos/agrovoc/c_3081[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyComputers in Earth SciencesLeaf area indexhttp://aims.fao.org/aos/agrovoc/c_4039http://aims.fao.org/aos/agrovoc/c_4116Photon recollision probabilityhttp://aims.fao.org/aos/agrovoc/c_10672http://aims.fao.org/aos/agrovoc/c_32450105 earth and related environmental sciencesMathematicsRemote sensinghttp://aims.fao.org/aos/agrovoc/c_8114GeologyVegetationhttp://aims.fao.org/aos/agrovoc/c_5234http://aims.fao.org/aos/agrovoc/c_7558Leaf area indexhttp://aims.fao.org/aos/agrovoc/c_7273http://aims.fao.org/aos/agrovoc/c_1236http://aims.fao.org/aos/agrovoc/c_1556U30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_4026010606 plant biology & botanyhttp://aims.fao.org/aos/agrovoc/c_6124
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Accounting for preferential sampling in species distribution models

2019

D. C., A. L. Q. and F. M. would like to thank the Ministerio de Educación y Ciencia (Spain) for financial support (jointly financed by the European Regional Development Fund) via Research Grants MTM2013‐42323‐P and MTM2016‐77501‐P, and ACOMP/2015/202 from Generalitat Valenciana (Spain). Species distribution models (SDMs) are now being widely used in ecology for management and conservation purposes across terrestrial, freshwater, and marine realms. The increasing interest in SDMs has drawn the attention of ecologists to spatial models and, in particular, to geostatistical models, which are used to associate observations of species occurrence or abundance with environmental covariates in a fi…

0106 biological sciencesComputer scienceQH301 BiologySpecies distributionPoint processesStochastic partial differential equation01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_6774EspèceAbundance (ecology)StatisticsPesqueríasQAOriginal Researchhttp://aims.fao.org/aos/agrovoc/c_241990303 health sciencesEcologyU10 - Informatique mathématiques et statistiquesSampling (statistics)Integrated nested Laplace approximationstochastic partial differential equationVariable (computer science)symbolsÉchantillonnageSpecies Distribution Models (SDMs)Modèle mathématiqueBayesian probabilityNDASDistribution des populations010603 evolutionary biologyQH30103 medical and health sciencessymbols.namesakeCovariateQA MathematicsSDG 14 - Life Below WaterCentro Oceanográfico de Murciaspecies distribution modelsRelative species abundanceEcology Evolution Behavior and Systematicspoint processes030304 developmental biologyNature and Landscape Conservationhttp://aims.fao.org/aos/agrovoc/c_6113http://aims.fao.org/aos/agrovoc/c_7280Markov chain Monte Carlointegrated nested Laplace approximationU30 - Méthodes de rechercheBayesian modelling
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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
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