Search results for "Ross"

showing 10 items of 8987 documents

Biodiversity change after climate-induced ice-shelf collapse in the Antarctic

2011

Julian Gutt ... et al. -- 10 pages, 5 figures, 1 table, supplementary data https://doi.org/10.1016/j.dsr2.2010.05.024

0106 biological sciencesKrill010504 meteorology & atmospheric sciences[SDE.MCG]Environmental Sciences/Global Changes[SDV.BID]Life Sciences [q-bio]/BiodiversityOceanography01 natural sciencesIce shelf1st insightsBenthosBenthosAntarctic PeninsulaEuphausia superba [Antarctic krill]EcosystemenEcosystemMarine ecosystem14. Life underwatersouthern-oceanKrillbiogeography0105 earth and related environmental sciences[ SDV.BID ] Life Sciences [q-bio]/Biodiversitygeography[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologydeep-seageography.geographical_feature_categorybiologyaggregationsEcology010604 marine biology & hydrobiologyPelagic zone15. Life on landbiology.organism_classificationApex predatorsIceberg[ SDE.MCG ] Environmental Sciences/Global ChangesOceanographywestern weddell sea13. Climate actionBenthic zonepeninsulaDeep-sea speciesspecies-diversityimpactPioneer speciesross sea[SDE.BE]Environmental Sciences/Biodiversity and EcologyGeology
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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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Odor intensity measurements in gas chromatography-olfactometry using cross modality matching : evaluation of training effects

1999

International audience

0106 biological sciencesMatching (statistics)Cross modalityComputer sciencebusiness.industry[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food science01 natural sciences3. Good healthIntensity (physics)0404 agricultural biotechnologyOdor010608 biotechnologyOlfactometry[SDV.IDA]Life Sciences [q-bio]/Food engineeringINTENSITEComputer vision[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringGas chromatographyArtificial intelligencebusinessComputingMilieux_MISCELLANEOUSAPPARIEMENT CROSS-MODAL
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Molecular Bases for Sensitivity to Tubulin-Binding Herbicides in Green Foxtail

2004

Abstract We investigated the molecular bases for resistance to several classes of herbicides that bind tubulins in green foxtail (Setaria viridis L. Beauv.). We identified two α- and two β-tubulin genes in green foxtail. Sequence comparison between resistant and sensitive plants revealed two mutations, a leucine-to-phenylalanine change at position 136 and a threonine-to-isoleucine change at position 239, in the gene encoding α2-tubulin. Association of mutation at position 239 with herbicide resistance was demonstrated using near-isogenic lines derived from interspecific pairings between green foxtail and foxtail millet (Setaria italica L. Beauv.), and herbicide sensitivity bioassays combine…

0106 biological sciencesModels MolecularSetariaPhysiologyProtein ConformationMolecular Sequence DataSetaria PlantDrug ResistancePlant Sciencemedicine.disease_cause01 natural sciencesTubulin binding[SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics03 medical and health sciencesFocus Issue on the Plant CytoskeletonSpecies SpecificityTubulin[SDV.GEN.GPL] Life Sciences [q-bio]/Genetics/Plants geneticsBotanyGeneticsmedicineBioassayAmino Acid SequenceGeneCross-resistancePhylogenyComputingMilieux_MISCELLANEOUS030304 developmental biology0303 health sciencesMutationbiologyBase SequenceSetaria viridisHerbicidesbiology.organism_classificationBiochemistryFoxtail010606 plant biology & botanyProtein Binding
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Sexing birds using discriminant function analysis: a critical appraisal.

2011

9 pages; International audience; Discriminant function analysis (DFA) based on morphological measurements is a quick, inexpensive, and efficient method for sex determination in field studies on cryptically monomorphic bird species. However, behind the apparent standardization and relative simplicity of DFA lie subtle differences and pitfalls that have been neglected in some studies. Most of these concerns directly affect assessment of the discriminant performance, a parameter of crucial importance in practice because it provides a measure of the quality of an equation that may be used in later field studies. Using results from 141 published studies and simulations based on a large data set …

0106 biological sciencesZenaida auritaZenaida auritaZenaida dovesSexing[SDV.BID]Life Sciences [q-bio]/Biodiversitysample size effect010603 evolutionary biology01 natural sciencescross-validationCross-validation010605 ornithologyDiscriminant function analysisStatisticsEcology Evolution Behavior and Systematics[ SDV.BID ] Life Sciences [q-bio]/Biodiversity[ SDE.BE ] Environmental Sciences/Biodiversity and Ecology[STAT.AP]Statistics [stat]/Applications [stat.AP]biology[ STAT.AP ] Statistics [stat]/Applications [stat.AP]biology.organism_classificationmorphological measurementsDFADiscriminantSample size determinationsexual dimorphismAnimal Science and Zoology[SDE.BE]Environmental Sciences/Biodiversity and EcologyJackknife resamplingmeasurement errors
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Cross-Talk between ROS and Calcium in Regulation of Nuclear Activities

2010

International audience; Calcium and Reactive Oxygen Species (ROS) are acknowledged as crucial second messengers involved in the response to various biotic and abiotic stresses. However, it is still not clear how these two compounds can play a role in different signaling pathways leading the plant to a variety of processes such as root development or defense against pathogens. Recently, it has been shown that the concept of calcium and ROS signatures, initially discovered in the cytoplasm, can also be extended to the nucleus of plant cells. In addition, it has been clearly proved that both ROS and calcium signals are intimately interconnected. How this cross-talk can finally modulate the tra…

0106 biological sciences[SDV]Life Sciences [q-bio]chemistry.chemical_elementSignallingPlant ScienceBiologyCalciumModels Biological01 natural sciencesNucleus03 medical and health sciencesNuclear proteinCrosstalkMolecular Biology030304 developmental biologyCell NucleusCalcium metabolismchemistry.chemical_classification0303 health sciencesReactive oxygen speciesfungifood and beveragesROSCell biologyMetabolic pathwaychemistryCytoplasmSecond messenger systemCalciumSignal transductionReactive Oxygen SpeciesSignal Transduction010606 plant biology & botanyMolecular Plant
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In utero behavioral imprinting to predation risk in pups of the bank vole

2020

Abstract In the predator–prey arms race, survival-enhancing adaptive behaviors are essential. Prey can perceive predator presence directly from visual, auditory, or chemical cues. Non-lethal encounters with a predator may trigger prey to produce special body odors, alarm pheromones, informing conspecifics about predation risks. Recent studies suggest that parental exposure to predation risk during reproduction affects offspring behavior cross-generationally. We compared behaviors of bank vole (Myodes glareolus) pups produced by parents exposed to one of three treatments: predator scent from the least weasel (Mustela nivalis nivalis); scent from weasel-exposed voles, i.e., alarm pheromones;…

0106 biological sciencesalarm pheromoneOffspringodormetsämyyräZoologyBiology010603 evolutionary biology01 natural sciencesPredationhaju03 medical and health sciencesALARMpredation riskOdorPredatorEcology Evolution Behavior and Systematics030304 developmental biologyferomonit0303 health sciencessaaliseläimetbiology.organism_classificationPE&RCOlfactionBank voleOdorAnimal ecologycross-generational effectsWildlife Ecology and ConservationAlarm pheromonePheromoneCross-generational effectsAnimal Science and ZoologyPredation riskolfactionBehavioral Ecology and Sociobiology
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Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks

2020

Abstract The eddy covariance (EC) technique is used to measure the net ecosystem exchange (NEE) of CO2 between ecosystems and the atmosphere, offering a unique opportunity to study ecosystem responses to climate change. NEE is the difference between the total CO2 release due to all respiration processes (RECO), and the gross carbon uptake by photosynthesis (GPP). These two gross CO2 fluxes are derived from EC measurements by applying partitioning methods that rely on physiologically based functional relationships with a limited number of environmental drivers. However, the partitioning methods applied in the global FLUXNET network of EC observations do not account for the multiple co‐acting…

0106 biological sciencesecosystem respiration010504 meteorology & atmospheric sciencesnet ecosystem exchangeneural networkEddy covarianceClimate changeAtmospheric sciencesPhotosynthesis01 natural sciences7. Clean energyCarbon CycleAtmosphereFlux (metallurgy)FluxNetRespirationeddy covarianceEnvironmental ChemistryEcosystemPrimary Research ArticlePhotosynthesisEcosystem0105 earth and related environmental sciencesGeneral Environmental ScienceGlobal and Planetary ChangeEcologycarbon dioxide fluxes partitioningRespirationgross primary production (GPP)Carbon DioxideBiological Sciences15. Life on landgross primary productionmachine learning13. Climate action[SDE]Environmental SciencesEnvironmental scienceNeural Networks ComputerSeasonsecosystem respiration (RECO)Environmental Sciences010606 plant biology & botanyGlobal Change Biology
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The unique inflorescence structure of Dorema aucheri (Apiaceae): An adaptation to the arid environment

2021

Abstract Arid environments demand specific adaptations from plants in vegetative and reproductive systems. Self–compatibility, high pollen production and few well developed fruits are adapted to increase sexual reproductive success. Dorema aucheri is an arid–adapted, perennial monocarpic species endemic to southern Iran. It has a unique inflorescence structure. In this study, significance of inflorescence architecture for reproductive success was investigated in a wild population. The huge yellow inflorescences were frequently visited by manifold insects. The species is andromonoecious and spatially subdivided in a distal part with perfect flowers and a proximal part with male flowers. Flow…

0106 biological scienceseducation.field_of_study010504 meteorology & atmospheric sciencesEcologyReproductive successfungiPopulationfood and beveragesOutcrossingMonocarpicBiologymedicine.disease_cause010603 evolutionary biology01 natural sciencesGeitonogamyInflorescencePollinatorPollenBotanymedicineeducationEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEarth-Surface ProcessesJournal of Arid Environments
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Fishery-dependent and -independent data lead to consistent estimations of essential habitats

2016

AbstractSpecies mapping is an essential tool for conservation programmes as it provides clear pictures of the distribution of marine resources. However, in fishery ecology, the amount of objective scientific information is limited and data may not always be directly comparable. Information about the distribution of marine species can be derived from two main sources: fishery-independent data (scientific surveys at sea) and fishery-dependent data (collection and sampling by observers in commercial vessels). The aim of this paper is to compare whether these two different sources produce similar, complementary, or different results. We compare them in the specific context of identifying the Es…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Biodiversité et Ecologiehabitatmodélisation spatialehttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_38127Scyliorhinus caniculamodèle hiérarchiqueSpatial statisticsEcologymodèle de distributionSampling (statistics)Contrast (statistics)Cross-validationModélisation et simulationGeographyHabitatGestion des pêchesModeling and Simulationhttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117survey designMarine conservationSpecies Distribution ModelsEcology (disciplines)Bayesian probabilityEtmopterus spinaxenquête statistiqueDonnée sur les pêchesmodèle spatiotemporelSede Central IEOContext (language use)Aquatic ScienceDistribution des populationsBayesian hierarchical models010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026elasmobranchsBiodiversity and Ecologyélasmobrancheétude comparativeBayesian hierarchical models;Cross-validation;Species Distribution Models;Spatial statistics;INLA;elasmobranchs ; survey designINLA14. Life underwaterspecies distribution modelsEcology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_6113collecte des donnéesÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_29788http://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologyGestion et conservation des pêchescross validation[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationmodèle bayésienFisheryM01 - Pêche et aquaculture - Considérations généraleshttp://aims.fao.org/aos/agrovoc/c_2a75d27eThéorie bayésienneM40 - Écologie aquatiqueSpatial ecologyhttp://aims.fao.org/aos/agrovoc/c_2942[SDE.BE]Environmental Sciences/Biodiversity and Ecologyvalidation croiséeElasmobranchii
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