Search results for "Form."

showing 10 items of 43419 documents

Simple learning rules to cope with changing environments

2008

10 pages; International audience; We consider an agent that must choose repeatedly among several actions. Each action has a certain probability of giving the agent an energy reward, and costs may be associated with switching between actions. The agent does not know which action has the highest reward probability, and the probabilities change randomly over time. We study two learning rules that have been widely used to model decision-making processes in animals-one deterministic and the other stochastic. In particular, we examine the influence of the rules' 'learning rate' on the agent's energy gain. We compare the performance of each rule with the best performance attainable when the agent …

0106 biological sciencesError-driven learningExploitComputer scienceEnergy (esotericism)Biomedical EngineeringBiophysicsBioengineeringanimal behavior010603 evolutionary biology01 natural sciencesBiochemistryMulti-armed banditModels Biologicaldecision makingBiomaterials03 medical and health sciences[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalsLearningComputer Simulation[ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]multi-armed banditEcosystem030304 developmental biologySimple (philosophy)0303 health sciences[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologybusiness.industrydynamic environmentslearning rulesdecision-making[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Unlimited periodRange (mathematics)Action (philosophy)Artificial intelligence[SDE.BE]Environmental Sciences/Biodiversity and Ecology[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businessBiotechnologyResearch Article[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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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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Temperate Fish Detection and Classification: a Deep Learning based Approach

2021

A wide range of applications in marine ecology extensively uses underwater cameras. Still, to efficiently process the vast amount of data generated, we need to develop tools that can automatically detect and recognize species captured on film. Classifying fish species from videos and images in natural environments can be challenging because of noise and variation in illumination and the surrounding habitat. In this paper, we propose a two-step deep learning approach for the detection and classification of temperate fishes without pre-filtering. The first step is to detect each single fish in an image, independent of species and sex. For this purpose, we employ the You Only Look Once (YOLO) …

0106 biological sciencesFOS: Computer and information sciencesComputer Science - Machine LearningComputer scienceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognition010603 evolutionary biology01 natural sciencesConvolutional neural networkVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Machine Learning (cs.LG)Artificial IntelligenceClassifier (linguistics)FOS: Electrical engineering electronic engineering information engineeringbusiness.industry010604 marine biology & hydrobiologyDeep learningImage and Video Processing (eess.IV)Process (computing)Pattern recognitionElectrical Engineering and Systems Science - Image and Video ProcessingObject detectionA priori and a posterioriNoise (video)Artificial intelligenceTransfer of learningbusiness
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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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Evidence of a highly complex phylogeographic structure on a specialist river bird species, the dipper (Cinclus cinclus)

2008

This study details the phylogeographic pattern of the white-throated dipper (Cinclus cinclus), a Palearctic, temperate, passerine bird that is exclusively associated with flowing water. Our results reveal a complex phylogeographic structure with at least five distinct lineages for the Western Palearctic region. As for many species of the Western Palearctic fauna and flora, this genetic structure is probably linked to the isolation of populations in different southern refuges during glacial periods. Furthermore, the isolation of populations in Scandinavia and/or Eastern regions, but also in Morocco and probably in Corsica, was accentuated by ecological and biogeographic barriers during Quate…

0106 biological sciencesFauna[SDV]Life Sciences [q-bio]Settore BIO/05 - ZoologiaSubspecies01 natural sciencesPHYLOGEOGRAPHYIce ageGlacial periodPasseriformesPhylogenyComputingMilieux_MISCELLANEOUS0303 health scienceseducation.field_of_studyLikelihood FunctionsGLACIAL REFUGEbiologyGeographyEcologyGLACIATION QUATERNAIRECytochromes bMitochondriaEuropeGenes MitochondrialInterglacialCinclus cinclus; Glacial refuges; Mitochondrial DNA; Phylogeography; Quaternary glaciations; TaxonomyMITOCHONDRIAL DNAGenetic MarkersCinclus cincluPopulation010603 evolutionary biologyDNA MitochondrialEvolution Molecular03 medical and health sciencesGeneticsAnimalseducationMolecular BiologyEcology Evolution Behavior and Systematics030304 developmental biology[SDV.GEN]Life Sciences [q-bio]/GeneticsGenetic VariationSequence Analysis DNA15. Life on landTAXONOMYbiology.organism_classificationPhylogeographyGenetics PopulationCINCLUS CINCLUSCinclus cinclusQUATERNARY GLACIATIONSequence Alignment
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Assessing larval food quality for phytophagous insects: are the facts as simple as they appear?

2006

9 pages; International audience; We argue here that host plant quality affects many life-history traits of herbivorous insects and these traits often interact. Studies that look only at a limited number of traits often fail to determine the overall effect of plant quality on larval performance and adult fitness. Parameters such as mating success and adult longevity are frequently neglected even though they are affected by larval feeding and are crucial to overall fitness. To illustrate this, we examined a whole suite of life-history traits of the moth Lobesia botrana after rearing larvae of this grape pest on three different grape cultivars. Development time, mating success, fecundity, egg …

0106 biological sciencesFemale reproductive outputmedia_common.quotation_subjectFertilityLobesia botranaTrade-off010603 evolutionary biology01 natural sciencesLobesia botrana[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisMatingEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUSmedia_commongrapestrade-offLarvaHerbivorebiologyEcologyfungiLongevityfood and beveragesbiology.organism_classificationFecundity010602 entomologylarval performance[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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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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Temperature differences associated with colour do not determine where the acorn ant Temnothorax crassispinus (Hymenoptera: Formicidae) chooses to nest

2021

Temperature is an important factor for invertebrates. Social insects build nests, which along with their ability to thermoregulate, provide shelter from extreme temperatures. However, for many species of ants the most common method of controlling the temperature inside a nest is to choose a suitable nest site. During a fi eld experiment, the choice of nest site by the acorn ant Temnothorax crassispinus, a species which lives in coniferous and mixed forests, was studied. It typically occupies ephemeral nest sites and can move to a new nest site several times in one season. It was predicted that in early spring, dark coloured nest sites would be warmer and thus more frequently occupied by ant…

0106 biological sciencesField experimentHymenopteratemnothorax crassispinusAcorn010603 evolutionary biology01 natural sciencesforestNestacorn antInvertebratesocial insectsbiologyEcologynest site selectionEphemeral keytemperaturenest colourAnt colonybiology.organism_classificationANTformicidae010602 entomologyQL1-991nest cavityInsect SciencehymenopteraZoologyEuropean Journal of Entomology
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Dimensions of invasiveness: Links between local abundance, geographic range size, and habitat breadth in Europe's alien and native floras.

2021

Understanding drivers of success for alien species can inform on potential future invasions. Recent conceptual advances highlight that species may achieve invasiveness via performance along at least three distinct dimensions: 1) local abundance, 2) geographic range size, and 3) habitat breadth in naturalized distributions. Associations among these dimensions and the factors that determine success in each have yet to be assessed at large geographic scales. Here, we combine data from over one million vegetation plots covering the extent of Europe and its habitat diversity with databases on species' distributions, traits, and historical origins to provide a comprehensive assessment of invasive…

0106 biological sciencesFloraenemy release[SDE.MCG]Environmental Sciences/Global Changesmedia_common.quotation_subjectEnemy releaseinvasion successforms of raritydistribution–abundance relationshipenemy releaseleaf economic spectrumPlant Ecology and Nature Conservation[SDV.BID]Life Sciences [q-bio]/BiodiversityAlienLeaf economic spectrumdistribution–abundance relationshipinvasion success forms of rarity distribution–abundance relationship enemy release leaf economic spectrum010603 evolutionary biology01 natural sciencesAbundance (ecology)ddc:570invasion success forms of rarity distribution-abundance relationship enemy release leaf economic spectrumforms of rarityForms of rarityInvasion successAlien speciesEcosystemmedia_common[SDV.EE]Life Sciences [q-bio]/Ecology environmentMultidisciplinaryleaf economic spectrumEcologydistribution-abundance relationship; enemy release; forms of rarity; invasion success; leaf economic spectrum010604 marine biology & hydrobiologyVegetation15. Life on landPlantsBiological SciencesDistribution-abundance relationshipDefensieEuropePhylogeography580: Pflanzen (Botanik)GeographyHabitatdistribution-abundance relationshipinvasion successPlantenecologie en Natuurbeheer[SDE.BE]Environmental Sciences/Biodiversity and EcologyIntroduced SpeciesDistribution–Abundance relationshipDiversity (politics)Proceedings of the National Academy of Sciences of the United States of America
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Demographic responses of a site-faithful and territorial predator to its fluctuating prey: long-tailed skuas and arctic lemmings.

2014

Summary1. Environmental variability, through interannual variation in food availability or climaticvariables, is usually detrimental to population growth. It can even select for constancy in keylife-history traits, though some exceptions are known. Changes in the level of environmentalvariability are therefore important to predict population growth or life-history evolution.Recently, several cyclic vole and lemming populations have shown large dynamical changesthat might affect the demography or life-histories of rodent predators.2. Skuas constitute an important case study among rodent predators, because of theirstrongly saturating breeding productivity (they lay only two eggs) and high deg…

0106 biological sciencesFood ChainGreenlandPopulation DynamicsPopulationTerritorialityModels Biological010603 evolutionary biology01 natural sciencesSkuaPredationCharadriiformesfloatersterritoriality[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalsPopulation growth14. Life underwaterenvironmental variancedemographic bufferingeducationPredatorEcology Evolution Behavior and SystematicsDemographyeducation.field_of_study[ SDE.BE ] Environmental Sciences/Biodiversity and EcologybiologyArvicolinaeEcology010604 marine biology & hydrobiologybiology.organism_classificationPredatory BehaviorPopulation cycleAnimal Science and ZoologyVolepopulation cycles[SDE.BE]Environmental Sciences/Biodiversity and Ecology[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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