Search results for "88"

showing 10 items of 638 documents

Potential impacts of a future Nordic bioeconomy on surface water quality

2020

AbstractNordic water bodies face multiple stressors due to human activities, generating diffuse loading and climate change. The ‘green shift’ towards a bio-based economy poses new demands and increased pressure on the environment. Bioeconomy-related pressures consist primarily of more intensive land management to maximise production of biomass. These activities can add considerable nutrient and sediment loads to receiving waters, posing a threat to ecosystem services and good ecological status of surface waters. The potential threats of climate change and the ‘green shift’ highlight the need for improved understanding of catchment-scale water and element fluxes. Here, we assess possible bio…

010504 meteorology & atmospheric sciencesClimate ChangeVDP::Landbruks- og Fiskerifag: 900::Landbruksfag: 910Geography Planning and DevelopmentLand managementClimate changemaankäyttö010501 environmental sciences01 natural sciencesEnvironmental Effects of a Green Bio-EconomyEcosystem servicesVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488Environmental ChemistryProduction (economics)Humans14. Life underwaterVDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920Ecosystem0105 earth and related environmental sciences2. Zero hungerBiomass (ecology)EcologyLand usebusiness.industryEnvironmental resource managementSurface waterGeneral Medicine15. Life on landModels TheoreticalvedenlaatuBioeconomy6. Clean waterWater qualitypintavesi13. Climate actionLand useEnvironmental scienceWater qualitybusinessbiotalousSurface waterForecasting
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Ocean acidification at a coastal CO2 vent induces expression of stress-related transcripts and transposable elements in the sea anemone Anemonia viri…

2019

Published version, available at: https://doi.org/10.1371/journal.pone.0210358 Ocean acidification threatens to disrupt interactions between organisms throughout marine ecosystems. The diversity of reef-building organisms decreases as seawater CO2 increases along natural gradients, yet soft-bodied animals, such as sea anemones, are often resilient. We sequenced the polyA-enriched transcriptome of adult sea anemone Anemonia viridis and its dinoflagellate symbiont sampled along a natural CO2 gradient in Italy to assess stress levels in these organisms. We found that about 1.4% of the anemone transcripts, but only ~0.5% of the Symbiodinium sp. transcripts were differentially expressed. Processe…

0106 biological sciences0301 basic medicineAtmospheric ScienceMolecular biologyMarine and Aquatic SciencesGene ExpressionRetrotransposonSea anemone01 natural sciencesAnemoniaSequencing techniquesMobile Genetic ElementsMultidisciplinarybiologyQREukaryotaOcean acidificationAnemoneRNA sequencingGenomicsChemistryRetrotransposonsPhysical SciencesMedicineTranscriptome AnalysisResearch ArticleScienceZoology010603 evolutionary biology03 medical and health sciencesGreenhouse GasesCnidariaGenetic ElementsSea WaterGeneticsVDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470Environmental ChemistryAnimalsMarine ecosystemBiology and life sciencesEcology and Environmental SciencesDinoflagellateChemical CompoundsOrganismsTransposable ElementsCorrectionAquatic EnvironmentsComputational BiologyCarbon Dioxidebiology.organism_classificationGenome AnalysisMarine EnvironmentsInvertebratesVDP::Mathematics and natural science: 400::Basic biosciences: 470Research and analysis methods:Genetikk og genomikk: 474 VDP::Marinbiologi:497 VDP::Økologi:488 [VDP]030104 developmental biologySea AnemonesMolecular biology techniquesAtmospheric ChemistryEarth SciencesSeawater
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Cytological and molecular characterization of three gametoclones of Citrus clementina

2013

Abstract Background Three gametoclonal plants of Citrus clementina Hort. ex Tan., cv. Nules, designated ESP, FRA, and ITA (derived from three labs in Spain, France, and Italy, respectively), were selected for cytological and molecular characterization in order to elucidate genomic rearrangements provoked by haploidization. The study included comparisons of their ploidy, homozygosity, genome integrity, and gene dosage, using chromosome counting, flow cytometry, SSR marker genotyping, and array-Comparative Genomic Hybridization (array-CGH). Results Chromosome counting and flow cytometry revealed that ESP and FRA were haploid, but ITA was tri-haploid. Homozygous patterns, represented by a sing…

0106 biological sciencesCitrus[SDV]Life Sciences [q-bio]ÉvolutionPlant ScienceHaploidyHORT EX TAN01 natural sciencesGenomeF30 - Génétique et amélioration des planteshttp://aims.fao.org/aos/agrovoc/c_3185SSRSMARKERShttp://aims.fao.org/aos/agrovoc/c_2091http://aims.fao.org/aos/agrovoc/c_8837Citrus clementinaGynogénèseGenetics0303 health scienceshttp://aims.fao.org/aos/agrovoc/c_1637Homozygotehttp://aims.fao.org/aos/agrovoc/c_27583http://aims.fao.org/aos/agrovoc/c_26859Culture d'anthèreCytologieRECOVERYSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeGENOMEhttp://aims.fao.org/aos/agrovoc/c_3490[SDE]Environmental SciencesGametoclonal variationhttp://aims.fao.org/aos/agrovoc/c_6ce991ddPloidyhttp://aims.fao.org/aos/agrovoc/c_4026Genome PlantResearch ArticleLocus des caractères quantitatifsSéquence nucléotidiqueAnther cultureGamèteLocus (genetics)BiologyGenome sequencingGene dosageAnther culture Gynogenesis Gametoclonal variation Genome sequencingDNA sequencinghttp://aims.fao.org/aos/agrovoc/c_489103 medical and health sciencesGynogenesisRETICULATA BLANCOREGENERATIONHaploïdiehttp://aims.fao.org/aos/agrovoc/c_3081Anther culture;Gynogenesis;Gametoclonal variation;Genome sequencing;HORT EX TAN;ANTHER CULTURE;RETICULATA BLANCO;REGENERATION;RECOVERY;MARKERS;GENOME;SSRS[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyAllelehttp://aims.fao.org/aos/agrovoc/c_37974GeneGenotypingAlleles030304 developmental biologyhttp://aims.fao.org/aos/agrovoc/c_2745Biologie moléculairehttp://aims.fao.org/aos/agrovoc/c_7273010606 plant biology & botany
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Paysandisia archon: Taxonomy, distribution, biology and life cycle

2017

The taxonomic position of the family Castniidae within the order Lepidoptera has changed over time. Initially, it was classified in the superfamily Sesioidea, and then it was grouped in a large assemblage including the Cossoidea, Sesioidea, and Zygaenoidea. Recent studies have included it in the superfamily Cossoidea. In Europe, the palm borer moth (PBM) Paysandisia archon is the only species of the Castniidae. This moth, native to South America (Argentina and Uruguay), was first reported in Europe (France and Spain) in 2001, but it is believed to have been introduced before 1995 on palm trees imported from Argentina. Since then, the moth has been reported in Belgium, Bulgaria, Cyprus Islan…

0106 biological sciencesIdentificationPlante hôteDistribution géographiquePaysandisia archonCossoideahttp://aims.fao.org/aos/agrovoc/c_25231http://aims.fao.org/aos/agrovoc/c_15807SesioideaIntroduced speciesArecaceaeArecaceaeCastniidae010603 evolutionary biology01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_8812Biologie animalehttp://aims.fao.org/aos/agrovoc/c_5083http://aims.fao.org/aos/agrovoc/c_4317http://aims.fao.org/aos/agrovoc/c_4698Palm borer Phoenix morphologyhttp://aims.fao.org/aos/agrovoc/c_11621Physiologie du développementbiologyEcologyTaxonomiebiology.organism_classificationH10 - Ravageurs des plantesPupaLepidoptera010602 entomologyhttp://aims.fao.org/aos/agrovoc/c_3791Settore AGR/11 - Entomologia Generale E ApplicataCycle de développementhttp://aims.fao.org/aos/agrovoc/c_29176http://aims.fao.org/aos/agrovoc/c_4268Zygaenoideahttp://aims.fao.org/aos/agrovoc/c_7631
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Bayesian spatio-temporal approach to identifying fish nurseries by validating persistence areas

2015

Spatial and temporal closures of fish nursery areas to fishing have recently been recognized as useful tools for efficient fisheries management, as they preserve the reproductive potential of populations and increase the recruitment of target species. In order to identify and locate potential nursery areas for spatio-temporal closures, a solid understanding of species− environment relationships is needed, as well as spatial identification of fish nurseries through the application of robust analyses. One way to achieve knowledge of fish nurseries is to analyse the persistence of recruitment hotspots. In this study, we propose the comparison of different spatiotemporal model structures to ass…

0106 biological sciencesMediterranean climatehttp://aims.fao.org/aos/agrovoc/c_28840[SDV]Life Sciences [q-bio]01 natural sciencesMediterranean seaAbundance (ecology)Ecosystem approachEcologybiologyEcologyU10 - Informatique mathématiques et statistiquesinteraction élevage environnementmodèle de distributionMerluccius merlucciushttp://aims.fao.org/aos/agrovoc/c_41529zone de pêcheNursery areasSpatio temporal analysisanalyse bayésienneGeographyGestion des pêchesgestion spatialealevinageFisheries managementFishinganalyse spatiotemporellegestion des ressources naturellesAquatic Science010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026étude comparativeHakeMerluccius merluccius14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Distribution patternapproche ecosystémiqueÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologybiology.organism_classificationBiologie marineFisheryThéorie bayésiennehttp://aims.fao.org/aos/agrovoc/c_9000115M40 - Écologie aquatiqueBayesian hierarchical modellingMarine protected areaSpatial fisheries managementNursery areas;Distribution pattern;Ecosystem approach;Spatial fisheries management;Spatio temporal analysis;Bayesian hierarchical modelling;Merluccius merluccius
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Bayesian spatio-temporal discard model in a demersal trawl fishery

2014

Spatial management of discards has recently been proposed as a useful tool for the protection of juveniles, by reducing discard rates and can be used as a buffer against management errors and recruitment failure. In this study Bayesian hierarchical spatial models have been used to analyze about 440 trawl fishing operations of two different metiers, sampled between 2009 and 2012, in order to improve our understanding of factors that influence the quantity of discards and to identify their spatio-temporal distribution in the study area. Our analysis showed that the relative importance of each variable was different for each metier, with a few similarities. In particular, the random vessel eff…

0106 biological sciencesPerteSpatial correlationhttp://aims.fao.org/aos/agrovoc/c_28840Computer scienceProcess (engineering)Bayesian probabilitySede Central IEOAquatic ScienceOceanography01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_2173Abundance (ecology)Component (UML)http://aims.fao.org/aos/agrovoc/c_4438Pesquerías14. Life underwaterM11 - Production de la pêchehttp://aims.fao.org/aos/agrovoc/c_7881Ecology Evolution Behavior and SystematicsChalutageU10 - Informatique mathématiques et statistiques010604 marine biology & hydrobiologyhttp://aims.fao.org/aos/agrovoc/c_2801204 agricultural and veterinary sciencesDiscardsFisheryRessource marineVariable (computer science)Théorie bayésienneM40 - Écologie aquatique040102 fisheries0401 agriculture forestry and fisherieshttp://aims.fao.org/aos/agrovoc/c_2942Fisheries managementPêche démersale
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Systematic analysis of specific and nonspecific auxin effects on endocytosis and trafficking.

2021

Abstract The phytohormone auxin and its directional transport through tissues are intensively studied. However, a mechanistic understanding of auxin-mediated feedback on endocytosis and polar distribution of PIN auxin transporters remains limited due to contradictory observations and interpretations. Here, we used state-of-the-art methods to reexamine the auxin effects on PIN endocytic trafficking. We used high auxin concentrations or longer treatments versus lower concentrations and shorter treatments of natural indole-3-acetic acid (IAA) and synthetic naphthalene acetic acid (NAA) auxins to distinguish between specific and nonspecific effects. Longer treatments of both auxins interfere wi…

0106 biological sciencesPhysiologyEndocytic cycleArabidopsisBREFELDIN-APlant Science01 natural sciencesPROTEIN TRAFFICKINGNaphthaleneacetic AcidsPlant Growth RegulatorsGOLGI-APPARATUSheterocyclic compoundsInternalizationResearch Articlesmedia_commonchemistry.chemical_classification0303 health sciencesAcademicSubjects/SCI01270biologyAcademicSubjects/SCI02288AcademicSubjects/SCI02287AcademicSubjects/SCI02286food and beveragesCorrigendaEndocytosisCell biologyProtein TransportMEMBRANE TRAFFICKINGIntracellulartrans-Golgi NetworkGNOM ARF-GEFAcademicSubjects/SCI01280media_common.quotation_subjectEndocytosisClathrin03 medical and health sciencesAuxinGeneticsEndomembrane systemVACUOLAR TRAFFICKINGPLANT030304 developmental biologyIndoleacetic AcidsArabidopsis ProteinsMEDIATES ENDOCYTOSISCell MembraneBiology and Life SciencesTransporterTRANSPORTchemistrybiology.proteinARABIDOPSIS-THALIANA010606 plant biology & botanyPlant physiology
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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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Modelling sensitive elasmobranchs habitat

2013

Basic information on the distribution and habitat preferences of ecologically important species is essential for their management and protection. In the Mediterranean Sea there is increasing concern over elasmobranch species because their biological (ecological) characteristics make them highly vulnerable to fishing pressure. Their removal could affect the structure and function of marine ecosystems, inducing changes in trophic interactions at the community level due to the selective elimination of predators or prey species, competitors and species replacement. In this study Bayesian hierarchical spatial models are used to map the sensitive habitats of the three most caught elasmobranch spe…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Etmopterus spinaxhabitatAquatic ScienceDistribution des populationshttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus010603 evolutionary biology01 natural sciencesElasmobranch habitatPredationMediterranean seahttp://aims.fao.org/aos/agrovoc/c_38127http://aims.fao.org/aos/agrovoc/c_3041Scyliorhinus caniculaMediterranean SeaVulnerable speciesMarine ecosystem14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Trophic levelhttp://aims.fao.org/aos/agrovoc/c_6113biologyEcologyU10 - Informatique mathématiques et statistiques010604 marine biology & hydrobiologyScyliorhinus caniculabiology.organism_classificationBiologie marinetechnique de prévisionBayesian hierarchical spatial modelSpecies distribution modelingFisheryHabitatThéorie bayésienneGaleus melastomusM40 - Écologie aquatiquehttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117Elasmobranchii
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Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine?

2020

Minimal Learning Machine (MLM) is a recently popularized supervised learning method, which is composed of distance-regression and multilateration steps. The computational complexity of MLM is dominated by the solution of an ordinary least-squares problem. Several different solvers can be applied to the resulting linear problem. In this paper, a thorough comparison of possible and recently proposed, especially randomized, algorithms is carried out for this problem with a representative set of regression datasets. In addition, we compare MLM with shallow and deep feedforward neural network models and study the effects of the number of observations and the number of features with a special dat…

0209 industrial biotechnologyrandom projectionlcsh:Computer engineering. Computer hardwareComputational complexity theoryComputer scienceRandom projectionlcsh:TK7885-789502 engineering and technologyMachine learningcomputer.software_genresupervised learningapproximate algorithmsSet (abstract data type)regressioanalyysi020901 industrial engineering & automationdistance–based regressionalgoritmit0202 electrical engineering electronic engineering information engineeringordinary least–squaresbusiness.industrySupervised learningsingular value decompositionminimal learning machineMultilaterationprojektioRandomized algorithmkoneoppiminenmachine learningScalabilityFeedforward neural network020201 artificial intelligence & image processingArtificial intelligenceapproksimointibusinesscomputerMachine Learning and Knowledge Extraction
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