Search results for " Central"

showing 10 items of 560 documents

Jellyfish blooms perception in Mediterranean finfish aquaculture

2017

7 pages, 5 figures, 3 tables, supplemental material https://doi.org/10.1016/j.marpol.2016.11.005

0106 biological sciencesMediterranean climateSettore BIO/07 - EcologiaEconomics and EconometricsJellyfishGelatinous zooplanktonFish farmingAquacultureManagement Monitoring Policy and LawAquatic Science01 natural sciencesCentral and western MediterraneanMediterranean seaCentral and Western MediterraneanAquaculturebiology.animal14. Life underwaterGeneral Environmental Sciencebiologybusiness.industry010604 marine biology & hydrobiology04 agricultural and veterinary sciencesFish farmers' perceptionbiology.organism_classificationFisheryGeography13. Climate actionAgricultureGelatinous zooplankton Fish farmers' perception Aquaculture Central and Western Mediterranean040102 fisheriesGelatinous zooplankton0401 agriculture forestry and fisheriesbusinessTunaLaw
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Searching for a compromise between biological and economic demands to protect vulnerable habitats

2018

AbstractIdentifying vulnerable habitats is necessary to designing and prioritizing efficient marine protected areas (MPAs) to sustain the renewal of living marine resources. However, vulnerable habitats rarely become MPAs due to conflicting interests such as fishing. We propose a spatial framework to help researchers and managers determine optimal conservation areas in a multi-species fishery, while also considering the economic relevance these species may have in a given society, even in data poor situations. We first set different ecological criteria (i.e. species resilience, vulnerability and trophic level) to identify optimal areas for conservation and restoration efforts, which was bas…

0106 biological sciencesNature reserveMarine conservationFlexibility (engineering)Multidisciplinary010604 marine biology & hydrobiologylcsh:RFishingVulnerabilitylcsh:MedicineSede Central IEO15. Life on land010603 evolutionary biology01 natural sciencesArticle/dk/atira/pure/sustainabledevelopmentgoals/life_below_waterHabitatlcsh:QMarine protected areaSDG 14 - Life Below Water14. Life underwaterBusinesslcsh:ScienceResilience (network)Environmental planningScientific Reports
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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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Dealing with physical barriers in bottlenose dolphin (Tursiops truncatus) distribution

2019

Abstract Worldwide, cetacean species have started to be protected, but they are still very vulnerable to accidental damage from an expanding range of human activities at sea. To properly manage these potential threats we need a detailed understanding of the seasonal distributions of these highly mobile populations. To achieve this goal, a growing effort has been underway to develop species distribution models (SDMs) that correctly describe and predict preferred species areas. However, accuracy is not always easy to achieve when physical barriers, such as islands, are present. Indeed, SDMs assume, if only implicitly, that the spatial effect is stationary, and that correlation is only depende…

0106 biological sciencesRange (biology)Bayesian probabilitySpecies distributionDistribution (economics)Sede Central IEO010603 evolutionary biology01 natural sciencesINLAPesqueríasArchipelago de La MaddalenaSPDEgeographyCetaceansgeography.geographical_feature_categorybiologybusiness.industry010604 marine biology & hydrobiologyEcological ModelingEnvironmental resource managementBottlenose dolphinbiology.organism_classificationPhysical BarrierHabitatArchipelagoHierarchical Bayesian spatial modelsbusinessEcological Modelling
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Shift in Tuna Catches due to Ocean Warming.

2017

Ocean warming is already affecting global fisheries with an increasing dominance of catches of warmer water species at higher latitudes and lower catches of tropical and subtropical species in the tropics. Tuna distributions are highly conditioned by sea temperature, for this reason and their worldwide distribution, their populations may be a good indicator of the effect of climate change on global fisheries. This study shows the shift of tuna catches in subtropical latitudes on a global scale. From 1965 to 2011, the percentage of tropical tuna in longliner catches exhibited a significantly increasing trend in a study area that included subtropical regions of the Atlantic and western Pacifi…

0106 biological sciencesTime Factors010504 meteorology & atmospheric sciencesEffects of global warming on oceanslcsh:MedicineMarine and Aquatic SciencesOceanographyGlobal Warming01 natural sciencesOceansTropical climateClimate changeZoologíaPesqueríaslcsh:ScienceIndian OceanNorthern HemisphereLatitudeMultidisciplinaryGeographyFishesTemperatureAgricultureOsteichthyesVertebratesResearch ArticleCartographyOceans and SeasFisheriesClimate changeSede Central IEOSubtropicsAnimalsVulnerability of tropical countries to climate change14. Life underwaterOcean TemperatureTropical tuna distribution0105 earth and related environmental sciencesTropical ClimatePacific OceanTuna010604 marine biology & hydrobiologylcsh:RGlobal warmingOrganismsBiology and Life SciencesTropicsNumerical Analysis Computer-AssistedBodies of WaterModels TheoreticalFisherySea surface temperatureEffect on fisheries13. Climate actionEarth SciencesEnvironmental sciencelcsh:QTunaGeographic areas
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Vegetation structure and greenness in Central Africa from Modis multi-temporal data.

2013

African forests within the Congo Basin are generally mapped at regional scale as broad-leaved evergreen forests, with a main distinction between terra-firme and swamp forests types. At the same time, commercial forest inventories, as well as national maps, have highlighted a strong spatial heterogeneity of forest types. A detailed vegetation map generated using consistent methods is needed to inform decision makers about spatial forest organisation and theirs relationships with environmental drivers in the context of global change. We propose a multi-temporal remotely sensed data approach to characterize vegetation types using vegetation index annual profiles. The classifications identified…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28568Time Factors010504 meteorology & atmospheric sciencesDatabases FactualRainEcological Parameter Monitoringhttp://aims.fao.org/aos/agrovoc/c_900018001 natural sciencesTrees[ SDE ] Environmental Sciencesremote sensinghttp://aims.fao.org/aos/agrovoc/c_3062K01 - Foresterie - Considérations généralesDynamique des populationsForêt tropicale humidehttp://aims.fao.org/aos/agrovoc/c_6498http://aims.fao.org/aos/agrovoc/c_29008geography.geographical_feature_categoryCentral AfricaEcologyInventaire forestierVegetationArticlesClassificationSpatial heterogeneity[ SDE.MCG ] Environmental Sciences/Global ChangesDeciduoushttp://aims.fao.org/aos/agrovoc/c_7976CongoP31 - Levés et cartographie des solsForêt[SDE]Environmental SciencesSeasonshttp://aims.fao.org/aos/agrovoc/c_1432General Agricultural and Biological Scienceshttp://aims.fao.org/aos/agrovoc/c_34911Research ArticleF40 - Écologie végétaleTélédétectionClimate Change[SDE.MCG]Environmental Sciences/Global ChangesSpectroscopie infrarougeContext (language use)69Typologie010603 evolutionary biologySwampGeneral Biochemistry Genetics and Molecular BiologyCarbon Cycle[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environmentHumansAfrica Centralhttp://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_1344http://aims.fao.org/aos/agrovoc/c_8176[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmenthttp://aims.fao.org/aos/agrovoc/c_6111Ecosystem0105 earth and related environmental sciencesChangement climatiquegeographyCartographiehttp://aims.fao.org/aos/agrovoc/c_24174Enhanced vegetation index15. Life on landEvergreenVégétationStructure du peuplement13. Climate actionCouvert forestierPhysical geographyU30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_1653tropical rainforestTropical rainforest
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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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A spatially explicit risk assessment approach: Cetaceans and marine traffic in the Pelagos Sanctuary (Mediterranean Sea).

2017

15 páginas, 5 figuras, 2 tablas.-- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

0106 biological scienceslcsh:MedicineMarine and Aquatic SciencesTransportationStenella coeruleoalba01 natural sciencesMediterranean seaStenellaOceanslcsh:ScienceConservation ScienceMammalsMultidisciplinarybiologyFin WhaleMarine reserveFin WhalesHabitatsBottle-Nosed DolphinGeographyHabitatVertebratesEngineering and TechnologyResearch ArticleConservation of Natural ResourcesDolphinsMarine BiologySede Central IEO010603 evolutionary biologyRisk AssessmentBodies of waterbiology.animalMediterranean SeaAnimals14. Life underwaterMarine MammalsEcosystemShipsModels StatisticalBalaenoptera010604 marine biology & hydrobiologylcsh:REcology and Environmental SciencesOrganismsWhalesBiology and Life SciencesAquatic EnvironmentsPelagic zoneMarine spatial planningBayes Theorembiology.organism_classificationMarine EnvironmentsBoatsFisheryAmniotesEarth Scienceslcsh:QMarine protected area
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A Novel Solution for the Elimination of Mode Switching in Pump-Controlled Single-Rod Cylinders

2020

This paper concerns the stability issue of pump-controlled single-rod cylinders, known as mode switching. First, a review of the topic is provided. Thereafter, the most recently proposed solution for the elimination of mode switching is investigated and shown to result in unstable behavior under certain operating conditions. A theoretical analysis is provided demonstrating the underlying mechanisms of this behavior. Based on the analysis, a novel control strategy is proposed and investigated numerically. Proper operation and stability are demonstrated for a wide range of operating conditions, including situations under which the most recently proposed solution results in unstable behavior a…

0209 industrial biotechnologyControl and OptimizationMaterials science020209 energy02 engineering and technologyelectrohydraulic valvesStability (probability)020901 industrial engineering & automationlinear actuatorsControl theorylcsh:TK1001-18410202 electrical engineering electronic engineering information engineeringlcsh:TA401-492large inertia loadsLinear actuatorstabilitylcsh:Production of electric energy or power. Powerplants. Central stationsRange (mathematics)VDP::Teknologi: 500single-pump circuitsmode switching instabilityControl and Systems EngineeringoscillationsMode switchinglcsh:Materials of engineering and construction. Mechanics of materialsActuatorpump-controlled systemsActuators
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Reasons for extraction in primary teeth among 5-12 years school children in Haryana, India- A cross-sectional study

2017

Background Due to high prevalence of oral diseases extraction of primary teeth is a common and a major concern in developing countries. These teeth are given least importance as they are believed to shed off automatically, thus leading to serious problems like crowding and malocclusion. Material and methods A cross sectional study was carried out among children aged 5 to 12 years among 1347 children. The data was recorded on a prestructured questionnaire. Reasons for extraction of teeth were based on Kay and Blinkhorn criteria. Results 20.4% children were having tooth loss due to various reasons. The main reason for extraction was found to be caries in 64.3% followed by trauma in maxillary …

0301 basic medicineCross-sectional studyDeveloping countryDentistry03 medical and health sciences0302 clinical medicinestomatognathic systemTooth lossMedicineMaxillary central incisorGeneral DentistryOrthodontics030109 nutrition & dieteticsHigh prevalencebusiness.industryResearch030206 dentistry:CIENCIAS MÉDICAS [UNESCO]medicine.diseaseCrowdingCommunity and Preventive Dentistrystomatognathic diseasesUNESCO::CIENCIAS MÉDICASProper treatmentMalocclusionmedicine.symptombusinessJournal of Clinical and Experimental Dentistry
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