Search results for "name"

showing 10 items of 8538 documents

Standardised spider (Arachnida, Araneae) inventory of Kilpisjarvi, Finland

2020

Abstract Background A spider taxonomy and ecology field course was organised in Kilpisjarvi Biological Station, northern Finland, in July 2019. During the course, four 50 × 50 m plots in mountain birch forest habitat were sampled following a standardised protocol. In addition to teaching and learning about spider identification, behaviour, ecology and sampling, the main aim of the course was to collect comparable data from the Kilpisjarvi area as part of a global project, with the purpose of uncovering global spider diversity patterns. New information A total of 2613 spiders were collected, of which 892 (34%) were adults. Due to uncertainty of juvenile identification, only adults are includ…

0106 biological sciencesArthropodaBiogeographyNephrozoa010607 zoologyProtostomiaZoologyTheridiidaeCircumscriptional names of the taxon under010603 evolutionary biology01 natural sciencesArachnidaThelyphonidaAnimaliaBilateriaJuvenileSubarcticlcsh:QH301-705.5Ecology Evolution Behavior and SystematicsPardosaSpiderSpider taxonomyEcologybiologyCephalornisbiology.organism_classificationLinyphiidaeGeographylcsh:Biology (General)BiogeographyLaplandNotchia1181 Ecology evolutionary biologyAraneaeEcdysozoaChasmataspididaThomisidaeCoelenterata
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Review of the genusiLanchnophorus/i(Hemiptera: Heteroptera: Rhyparochromidae) with description of three new species and other nomenclatural changes.

2017

The generic name Lanchnophorus Reuter, 1887, deemed for a long time to be unavailable as incorrect original spelling of Lachnophorus (in fact Lachnophorus Distant, 1903 is an unjustified emendation of the former), is restored as a valid name of the genus. Lachnesthus Bergroth, 1915, syn. nov. (new name for the preoccupied Lachnophorus Distant, 1903) is considered junior synonym of Lanchnophorus. The following nomenclatural changes are proposed: Lanchnophorus flavus (Scudder, 1971) comb. nov. = Lachnesthus chinai Scudder, nomen nudum; Lanchnophorus guttulatus Reuter, 1887, comb. restit. = Lachnophorus albidomaculatus Distant, 1913, syn. nov. = Lachnesthus rodriguezensis China, 1925, syn. nov…

0106 biological sciencesAsia010607 zoologyBiologybiology.organism_classification010603 evolutionary biology01 natural scienceslanguage.human_languageSierra leoneHeteropteraValid nameGenusTamilAfricaRhyparochromidaelanguageEthnologyAnimalsAnimal Science and ZoologyNomen nudumChinaNomenclatureAnimal DistributionEcology Evolution Behavior and SystematicsZootaxa
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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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Revision: Indicadores del deterioro de la calidad proteica y del valor nutritivo de la leche / Review: Indicators of damage of protein quality and nu…

1999

The nutritional value of milk can be negatively affected by thermal treatments. The quality of the proteins can be modified as a consequence of a set of reactions, the most important of which are the interactions between protein and carbohydrates, also known as Maillard reactions. These reactions can also occur when the storage conditions of moisture and temperature are unfavorable. The differ ent thermal treatments involved in processing milk (pasteurization, sterilization, drying, etc.) lead to different steps of the Maillard reaction and therefore to the formation of different compounds that can be useful as chemical markers of milk alteration, or more exactly of protein alteration. Est…

0106 biological sciencesChemistryGeneral Chemical Engineeringfood and beveragesPasteurization04 agricultural and veterinary sciences040401 food science01 natural sciencesIndustrial and Manufacturing Engineeringlaw.inventionMaillard reactionsymbols.namesake0404 agricultural biotechnologyChemical markerlaw010608 biotechnologysymbolsFood scienceProtein qualityFood ScienceFood Science and Technology International
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Tamarix arborea var. arborea and Tamarix parviflora: Two species valued for their adaptability to stress conditions.

2016

The choice of stress resistant and highly adaptable species is a fundamental step for landscaping and ornamental purposes in arid and coastal environments such as those in the Mediterranean basin. The genus Tamarix L. includes about 90 species with a high endurance of adversity. We investigated the water relations and photosynthetic response of Tamarix arborea (Sieb. ex Ehrenb.) Bge. var. arborea and T. parviflora DC. growing in an urban environment. Both species showed no evidence of drought or salt stress in summer, and appeared to follow two strategies with T. arborea var. arborea investing in high carbon gain at the beginning of the summer, and then reducing photosynthetic activity at t…

0106 biological sciencesChlorophyllWater potential010501 environmental sciences01 natural sciencesMediterranean BasinGeneral Biochemistry Genetics and Molecular BiologyPhotosynthesiSpecies SpecificityTamarix parvifloraGenusStress PhysiologicalOrnamental plantBotanySettore BIO/04 - Fisiologia VegetaleSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliTamaricaceaePhotosynthesis0105 earth and related environmental sciencesGeneral Environmental ScienceTranspirationBiochemistry Genetics and Molecular Biology (all)biology2300TamaricaceaeTamariskMedicine (all)Settore BIO/02 - Botanica SistematicaTamarixWaterPlant Transpirationbiology.organism_classificationAridAdaptation PhysiologicalNeurologySettore BIO/03 - Botanica Ambientale E ApplicataDrought stre010606 plant biology & botanyActa biologica Hungarica
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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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Nutritional symbionts enhance structural defence against predation and fungal infection in a grain pest beetle

2022

ABSTRACT Many insects benefit from bacterial symbionts that provide essential nutrients and thereby extend the hosts’ adaptive potential and their ability to cope with challenging environments. However, the implications of nutritional symbioses for the hosts’ defence against natural enemies remain largely unstudied. Here, we investigated whether the cuticle-enhancing nutritional symbiosis of the saw-toothed grain beetle Oryzaephilus surinamensis confers protection against predation and fungal infection. We exposed age-defined symbiotic and symbiont-depleted (aposymbiotic) beetles to two antagonists that must actively penetrate the cuticle for a successful attack: wolf spiders (Lycosidae) an…

0106 biological sciencesCuticlePhysiologyCuticleBeauveria bassianaZoologyOryzaephilus surinamensisAquatic Science010603 evolutionary biology01 natural sciencesPredation03 medical and health sciencesAposymbioticMutualismSymbiosisCandidatus Shikimatogenerans silvanidophilusOryzaephilus surinamensisSawtoothed grain beetleAnimalsSymbiosisMolecular BiologyEcology Evolution Behavior and Systematics030304 developmental biologyStructural defenceMutualism (biology)0303 health sciencesbiologyBacteroidetesHost (biology)fungi15. Life on landbiology.organism_classificationColeopteraMycosesPredatory BehaviorInsect ScienceAnimal Science and ZoologyResearch ArticleJournal of Experimental Biology
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Effectiveness of sodium bicarbonate combined with hydrogen peroxide and CPP-ACPF in whitening and microhardness of enamel

2017

Background: This study investigated the effects of sodium bicarbonate (NaHCO3) combined with 1.5 hydrogen peroxide (H2O2) and casein phosphopeptide amorphous calcium phosphate fluoride (CPP-ACPF) on color and microhardness of enamel. Material and Methods: Seventy-five bovine incisors were immersed in a tea solution for 7.5 days. The specimens were randomly divided into five groups according to the whitening agent applied: 1) 94 NaHCO3, 2) a blend of 94 NaHCO3 and CPP-ACPF, 3) a blend of 94 NaHCO3 and 1.5 H2O2, 4) a blend of 94 NaHCO3, 1.5 H2O2 and CPP-ACPF, 5) control. The whitening procedure was performed for 10 times over 10 days. At each day, the buccal surfaces were covered with whiteni…

0106 biological sciencesDentistry01 natural sciences03 medical and health scienceschemistry.chemical_compound0302 clinical medicineCaseinAmorphous calcium phosphateHydrogen peroxideGeneral DentistrySodium bicarbonateEnamel paintChemistrybusiness.industryResearch030206 dentistryBuccal administrationEsthetic Dentistry:CIENCIAS MÉDICAS [UNESCO]Stainingvisual_artUNESCO::CIENCIAS MÉDICASvisual_art.visual_art_mediumbusinessFluoride010606 plant biology & botanyNuclear chemistry
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Fauna Europaea: Coleoptera 2 (excl. series Elateriformia, Scarabaeiformia, Staphyliniformia and superfamily Curculionoidea)

2015

Fauna Europaea provides a public web-service with an index of scientific names (including synonyms) of all living European land and freshwater animals, their geographical distribution at country level (up to the Urals, excluding the Caucasus region), and some additional information. The Fauna Europaea project covers about 230,000 taxonomic names, including 130,000 accepted species and 14,000 accepted subspecies, which is much more than the originally projected number of 100,000 species. This represents a huge effort by more than 400 contributing specialists throughout Europe and is a unique (standard) reference suitable for many users in science, government, industry, nature conservation an…

0106 biological sciencesFauna EuropaeaCleroideaInsectaCarbotripluridaAdephaga01 natural sciencesStaphyliniformiaBilateriaBiology (General)Biodiversity Informatics Coleoptera Fauna Europaea Taxonomic indexing.lcsh:QH301-705.5PolyphagaTenebrionoideaInvertebrataData ManagementBostrichoideaBiodiversity Informatics; Coleoptera; Fauna Europaea; Taxonomic indexing; Ecology Evolution Behavior and Systematics; EcologyPterygotabiologyEcologyEcologyCenozoicHexapodaCephalornisCurculionoideaLymexyloideaCircumscriptional namesddc:ColeopteraEuropeBoltonocostidaeDerodontoideaBiogeographyElateriformiaNeogeneCoelenterataData PaperFauna EuropaeaArthropodaEvolutionQH301-705.5Bioinformatics010607 zoologyNephrozoaChrysomeloideaProtostomia010603 evolutionary biologyCircumscriptional names of the taxon underAdephagaMyxophagaBehavior and SystematicsSystematicsStaphyliniformiaAnimaliaEcology Evolution Behavior and SystematicsMyxophagaEkologibiodiversity Informatics; coleoptera; fauna europaea; taxonomic indexingPharotarsusArchostemata15. Life on landbiology.organism_classificationArchostematalcsh:Biology (General)NotchiaBiodiversity InformaticsEcdysozoaTaxonomic indexingTaxonomic indexing.CucujoideaGlobal biodiversity
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