Search results for "WATER"

showing 10 items of 9348 documents

Consumer perspectives on coastal fisheries and product labelling in France and Italy

2022

Abstract The term ‘coastal fisheries’ designates a form of fishing which is under heavy pressure due to competition by large-scale high sea fishing. Setting up markets for seafood from coastal fisheries might offer possibilities of product differentiation when appreciated by consumers. The aim of this research is to analyse the potential of marketing seafood from coastal fisheries by investigating consumers’ perception of coastal fisheries and their attitudes towards a label for coastal fishery products in France and Italy. This research combined qualitative (focus groups) and quantitative methods (online survey) in two different steps. ‘Coastal fisheries’ were mainly perceived positively, …

0106 biological sciencesCoastal fisheries030309 nutrition & dieteticsmedia_common.quotation_subjectFishingArtisanal fishingProduct differentiationAquatic ScienceSettore SECS-P/06 - Economia Applicata01 natural sciencesCompetition (economics)03 medical and health sciencesLabellingQuality (business)14. Life underwaterProduct (category theory)media_common0303 health sciencesConsumer behaviour010604 marine biology & hydrobiologyFocus groupFisherySustainabilityFishingBusinessProduct LabellingFisheries Research
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Conservation and people: Towards an ethical code of conduct for the use of camera traps in wildlife research

2020

International audience; Abstract 1. Camera trapping is a widely employed tool in wildlife research, used to estimate animal abundances, understand animal movement, assess species richness and understand animal behaviour. In addition to images of wild animals, research cameras often record human images, inadvertently capturing behaviours ranging from innocuous actions to potentially serious crimes. 2. With the increasing use of camera traps, there is an urgent need to reflect on how researchers should deal with human images caught on cameras. On the one hand, it is important to respect the privacy of individuals caught on cameras, while, on the other hand, there is a larger public duty to re…

0106 biological sciencesCode of conductmedia_common.quotation_subjectPARTNERS principles for community‐based conservationInternet privacyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWildlifeprivacyhuman rights010603 evolutionary biology01 natural sciencesEcology and Environment[SHS]Humanities and Social Sciencessnow leopardGE1-35014. Life underwaterlawQH540-549.5Ethical codemedia_commonEcologyHuman rightscamera trapcode of conductbusiness.industry010604 marine biology & hydrobiology15. Life on landethicsEnvironmental sciencesGeographySnow leopardCamera trapPARTNERS principles for community-based conservationbusinessEcological Solutions and Evidence
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Resource polymorphism in European whitefish: Analysis of fatty acid profiles provides more detailed evidence than traditional methods alone

2019

Published version, licensed CC BY-NC-ND 4.0. , available at: http://dx.doi.org/10.1371/journal.pone.0221338 Resource polymorphism—whereby ancestral generalist populations give rise to several specialised morphs along a resource gradient—is common where species colonise newly formed ecosystems. This phenomenon is particularly well documented in freshwater fish populations inhabiting postglacial lakes formed at the end of the last ice age. However, knowledge on how such differential exploitation of resources across contrasting habitats might be reflected in the biochemical compositions of diverging populations is still limited, though such patterns might be expected. Here, we aimed to assess …

0106 biological sciencesComposite ParticlesMarine and Aquatic SciencesPredationGeneralist and specialist species01 natural sciencesFood chainIsotopesvatsaFood Web StructurelakesMedicine and Health SciencesCoregonus albulaVDP::Mathematics and natural science: 400::Zoology and botany: 480::Marine biology: 497Trophic levelMultidisciplinaryEcologyfood.dishPhysicsStable IsotopesQStomachREukaryotafood web structureselkärangattomatGastrointestinal Contents6. Clean waterFood webTrophic InteractionsFreshwater FishCommunity Ecologyfreshwater fishVertebratesPhysical Sciencesresource polymorphismFreshwater fishMedicinepredationAnatomyNutritive ValueSalmonidaestomachResearch ArticleFreshwater EnvironmentsAtomsFAFood ChainSciencestable isotopesZoologyScandinavian and Nordic CountriesCoregonus lavaretusBiologyfatty acidsjärvet010603 evolutionary biologyfoodCoregonus lavaretusAnimals14. Life underwaterParticle PhysicsravintoketjutVDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920Coregonus albulatrophic interactionsEcological nicheisotoopit010604 marine biology & hydrobiologyEcology and Environmental SciencesOrganismsAquatic EnvironmentsBiology and Life SciencesFeeding BehaviorBodies of WaterVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Marinbiologi: 497invertebratesbiology.organism_classificationInvertebratessaalistusGastrointestinal TractLakesFishEuropean whitefishsiikaEarth SciencesDigestive SystemravintoverkotPLOS ONE
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Resource Partitioning in Food, Space and Time between Arctic Charr (Salvelinus alpinus), Brown Trout (Salmo trutta) and European Whitefish (Coregonus…

2017

Arctic charr and European whitefish are considered to be strong competitors in lakes, with the latter usually being the superior species. However, high niche plasticity and lake morphometry may suggestively facilitate resource partitioning and coexistence between charr and whitefish. Here, we explore the trophic niche utilization (diet and habitat use) of charr and whitefish co-occurring with brown trout in the deep and oligotrophic Lake Fyresvatnet, southern Norway (59˚05’N, 8˚10’E). Using CPUE, stomach contents and stable isotope analyses, a distinct resource partitioning was revealed between brown trout and the other two species. Brown trout typically occupied the littoral zone, feeding …

0106 biological sciencesComposite ParticlesTroutlcsh:MedicineMarine and Aquatic Sciences01 natural sciencesBrown troutIsotopesVDP::Mathematics and natural science: 400::Zoology and botany: 480::Marine biology: 497Salmolcsh:ScienceMultidisciplinarybiologyfood.dishEcologyEcologyNorwayPhysicsStable IsotopescoexistenceFishesPlanktonGastrointestinal ContentsTrophic InteractionsrinnakkaiseloFreshwater FishArctic charrTroutCommunity EcologyOsteichthyesVertebratesPhysical SciencesFreshwater fishEcological NichesSalmonidaeResearch ArticleFreshwater EnvironmentsAtoms010603 evolutionary biologyZooplanktonfoodCoregonus lavaretusAnimalsProfundal zoneParticle PhysicsSalmonidaeEcosystemSalvelinus010604 marine biology & hydrobiologylcsh:REcology and Environmental SciencesOrganismsBiology and Life SciencesAquatic EnvironmentsFeeding BehaviorVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Marinbiologi: 497Bodies of Waterbiology.organism_classificationInvertebratesLakesFoodEuropean whitefishEarth Sciencesta1181lcsh:Q
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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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Taxonomy 2.0: computer-aided identification tools to assist Antarctic biologists in the field and in the laboratory

2020

Species inventories are essential to the implementation of conservation policies to mitigate biodiversity loss and maintain ecosystem services and their value to the society. This is particularly topical with respect to climate change and direct anthropogenic effects on Antarctic biodiversity, with the identification of the most at-risk taxa and geographical areas becoming a priority. Identification tools are often neglected and considered helpful only for taxonomists. However, the development of new online information technologies and computer-aided identification tools provides an opportunity to promote them to a wider audience, especially considering the emerging generation of scientists…

0106 biological sciencesComputer science[SDV]Life Sciences [q-bio]BiodiversityEvolution des espècesOceanography010603 evolutionary biology01 natural sciencesEcosystem servicesDatabaseKnowledge baseBiodiversity conservationOcéanographie physique et chimique14. Life underwaterGéologieComputingMilieux_MISCELLANEOUSEcology Evolution Behavior and SystematicsXper3Taxonomic keyEcologiebiologybusiness.industry010604 marine biology & hydrobiologyOdontasteridaeInformation technologyGeologyField guides15. Life on landbiology.organism_classificationData scienceKnowledge base13. Climate action[SDE]Environmental SciencesManagement systemComputer-aidedbusinessSoftwareAntarctic Science
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Benchmark database for fine-grained image classification of benthic macroinvertebrates

2018

Managing the water quality of freshwaters is a crucial task worldwide. One of the most used methods to biomonitor water quality is to sample benthic macroinvertebrate communities, in particular to examine the presence and proportion of certain species. This paper presents a benchmark database for automatic visual classification methods to evaluate their ability for distinguishing visually similar categories of aquatic macroinvertebrate taxa. We make publicly available a new database, containing 64 types of freshwater macroinvertebrates, ranging in number of images per category from 7 to 577. The database is divided into three datasets, varying in number of categories (64, 29, and 9 categori…

0106 biological sciencesComputer scienceta1172Sample (statistics)monitorointi02 engineering and technologyneuroverkot01 natural sciencesConvolutional neural network0202 electrical engineering electronic engineering information engineeringkonenäköfine-grained classification14. Life underwaterFine-grained classificationInvertebrateta113ta112Contextual image classificationbusiness.industry010604 marine biology & hydrobiologyDeep learningConvolutional Neural NetworksBenchmark databasedeep learningPattern recognitionDeep learningselkärangattomatvedenlaatu6. Clean waterkoneoppiminenBenthic zoneBenthic macroinvertebratesbiomonitoringSignal ProcessingBiomonitoringta1181lajinmääritys020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligenceWater qualitybusinessbenthic macroinvertebrates
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A multidisciplinary analytical framework to delineate spawning areas and quantify larval dispersal in coastal fish

2019

International audience; Assessing larval dispersal is essential to understand the structure and dynamics of marine populations. However, knowledge about early-life dispersal is sparse, and so is our understanding of the spawning process, perhaps the most obscure component of biphasic life cycles. Indeed, the poorly known species-specific spawning modality and early-life traits, along with the high spatio-temporal variability of the oceanic circulation experienced during larval drift, hamper our ability to properly appraise the realized connectivity of coastal fishes. Here, we propose an analytical framework which combines Lagrangian modeling, network theory, otolith analyses and biogeograph…

0106 biological sciencesConservation of Natural ResourcesOceans and SeasPopulation DynamicsCoastal fishEcosystem ManagementConservationAquatic ScienceOceanography010603 evolutionary biology01 natural sciencesFish natal originsmedicineMediterranean SeaAnimalsDiplodus vulgarisMarine ecosystem14. Life underwaterEcosystemOtolithMarine Protected AreaLagrangian Flow Network[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere[SDV.EE]Life Sciences [q-bio]/Ecology environmentFish natal originbiologyEcology010604 marine biology & hydrobiologyFishesMarine connectivityPelagic zoneGeneral MedicineDiplodusbiology.organism_classificationPollutionCoastal fishesCoastal fishemedicine.anatomical_structureLarvaBiological dispersalMarine protected areaModels-hydrodynamicsModels-hydrodynamic
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Protected areas buffer against harvest selection and rebuild phenotypic complexity

2020

14 pages, 6 figures, 4 tables.-- This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited

0106 biological sciencesConservation of Natural ResourcesSurvivalFisheries-induced selectionPopulationFisheriesCapture–recaptureSkagerrak010603 evolutionary biology01 natural sciencesLife history theoryMark and recaptureHomarus gammarusMarine protected areasVital ratesAnimalsBody SizeHumans14. Life underwaterSize structureeducationSelection (genetic algorithm)education.field_of_studyEcologybiologyEcologyNorway010604 marine biology & hydrobiologyfungiFishesbiology.organism_classificationNephropidaeProductivity (ecology)LobsterMarine protected areaVital ratesEcological Applications
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Large-scale distribution analysis of Antarctic echinoids using ecological niche modelling.

2012

Understanding the factors that determine the distribution of taxa at various spatial scales is a crucial challenge in the context of global climate change. This holds particularly true for polar marine biota that are composed of both highly adapted and vulnerable faunas. We analysed the distribution of 2 Antarctic echinoid species, Sterechinus antarcticus and S. neumayeri, at the scale of the entire Southern Ocean using 2 niche modelling procedures. The performance of distribution models was tested with regard to the known ecology of the species. The respective contributions of environmental parameters are discussed along with the putative roles played by biotic interactions and biogeograph…

0106 biological sciencesContext (language use)Aquatic ScienceHabitat suitability map010603 evolutionary biology01 natural sciences[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsGARPSea ice14. Life underwaterSouthern OceanEcology Evolution Behavior and SystematicsPolar frontEcological nichegeography[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologygeography.geographical_feature_categoryBiotic componentEcologybiologyEcology010604 marine biology & hydrobiologyEchinoidea15. Life on landbiology.organism_classificationSterechinus[ SDV.EE.ECO ] Life Sciences [q-bio]/Ecology environment/EcosystemsSterechinusOceanographyArctic13. Climate actionEchinoidea [Sea urchins]Biological dispersal[SDE.BE]Environmental Sciences/Biodiversity and EcologyMaxent
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