Search results for "oceanography"

showing 10 items of 1567 documents

Can phthalates move into the eggs of the loggerhead sea turtle Caretta caretta? The case of the nests on the Linosa Island in the Mediterranean Sea

2021

During the monitoring of Caretta caretta nests on the island of Linosa, 30 unhatched eggs from four nests were collected to study the presence of phthalates in their three components (shell, yolk, and albumen). Four phthalates, namely diethyl (DEP), dibutyl (DBP), di-(2-ethylhexyl) (DEHP), and dioctyl (DOTP) phthalic acid esters (PAE), which are widely used as additives in plastics, were detected in all egg components. The most frequently found phthalate was DBP, followed by DEHP in eggshell and yolk. Dimethyl- (DMP) and butylbenzyl-phthalate (BBP) were below the limits of detection for all samples. The high total phthalate recorded in the yolk suggests that contamination could arise by vit…

0106 biological sciencesfood.ingredientYolkPhthalic AcidsZoology010501 environmental sciencesAquatic ScienceOceanography01 natural sciencesLoggerhead sea turtlechemistry.chemical_compoundMediterranean seafoodPlasticizersYolkMediterranean SeaAnimalsEggshell0105 earth and related environmental sciencesIslandsAlbumenbiology010604 marine biology & hydrobiologyMaternal transferPersistent organic pollutantsPhthalateContaminationbiology.organism_classificationPollutionDibutyl PhthalateTurtlesPhthalic acidchemistryEggshellVitellogenesisPlastics
researchProduct

Selective incorporation of dissolved organic matter (DOM) during sea ice formation

2013

This study investigated the incorporation of DOM from seawater into >2 day-old sea ice in tanks filled with seawater alone or amended with DOM extracted from the microalga, Chlorella vulgaris. Optical properties, including chromophoric DOM (CDOM) absorption and fluorescence, as well as concentrations of dissolved organic carbon (DOC), dissolved organic nitrogen (DON), dissolved carbohydrates (dCHOs) and dissolved uronic acids (dUAs) were measured. Enrichment factors (EFs), calculated from salinity-normalized concentrations of DOM in bulk ice, brine and frost flowers relative to under-ice water, were generally >1. The enrichment factors varied for different DOM fractions: EFs were the lowest fo…

0106 biological sciencesgeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesChemistry010604 marine biology & hydrobiologySize-exclusion chromatographyta1171General ChemistryOceanography01 natural sciencesColored dissolved organic matterBrineEnvironmental chemistrySpectral slopeDissolved organic carbonSea iceEnvironmental ChemistrySeawaterChemical composition0105 earth and related environmental sciencesWater Science and TechnologyMarine Chemistry
researchProduct

Direct and indirect effects of sea ice cover on major zooplankton groups and planktivorous fishes in the Barents Sea

2019

AbstractReductions in Arctic sea ice affect marine food webs through a multitude of direct and indirect effects. We here analysed direct, indirect, and delayed associations between winter sea ice cover and year-to-year changes in biomasses of the main zooplankton groups (copepods, krill, amphipods) and planktivorous fishes (capelin, polar cod) in the central and northern Barents Sea from 1980 to 2015. Climate effects and species interactions were estimated jointly in a Bayesian state-space model framework. We found that population biomass of capelin increased in years with low sea ice cover, while biomasses of copepods and amphipods decreased. Furthermore, results suggested strong bottom-up…

0106 biological sciencesgeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesEcology010604 marine biology & hydrobiologyVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Marinbiologi: 497Aquatic ScienceOceanography01 natural sciencesZooplanktonOceanographySea iceEnvironmental scienceCover (algebra)Ecology Evolution Behavior and Systematics0105 earth and related environmental sciencesICES Journal of Marine Science
researchProduct

Arctic sea ice algae differ markedly from phytoplankton in their ecophysiological characteristics

2021

Photophysiological and biochemical characteristics were investigated in natural communities of Arctic sea ice algae and phytoplankton to understand their respective responses towards variable irradiance and nutrient regimes. This study revealed large differences in photosynthetic efficiency and capacity between the 2 types of algal assemblages. Sea ice algal assemblages clearly displayed increased photoprotective energy dissipation under the highest daily average irradiance levels (>8 µmol photons m-2 s-1). In contrast, phytoplankton assemblages were generally light-limited within the same irradiance ranges. Furthermore, phytoplankton assemblages exhibited more efficient carbon assimilat…

0106 biological sciencesgeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesEcologybiology010604 marine biology & hydrobiologyClimate changePelagic zoneAquatic Sciencebiology.organism_classification01 natural sciencesAlgal bloomArctic ice packOceanographyArcticAlgae13. Climate actionPhytoplanktonSea iceEnvironmental scienceVDP::Mathematics and natural science: 400::Zoology and botany: 480::Marine biology: 49714. Life underwaterEcology Evolution Behavior and Systematics0105 earth and related environmental sciences
researchProduct

The influence of thermal extremes on coral reef fish behaviour in the Arabian/Persian Gulf

2019

Despite increasing environmental variability within marine ecosystems, little is known about how coral reef fish species will cope with future climate scenarios. The Arabian/Persian Gulf is an extreme environment, providing an opportunity to study fish behaviour on reefs with seasonal temperature ranges which include both values above the mortality threshold of Indo-Pacific reef fish, and values below the optimum temperature for growth. Summer temperatures in the Gulf are comparable to those predicted for the tropical ocean by 2090–2099. Using field observations in winter, spring and summer, and laboratory experiments, we examined the foraging activity, distance from refugia and resting tim…

0106 biological sciencesgeographygeography.geographical_feature_categorybiologyCoral reef fish010604 marine biology & hydrobiologyfungiPomacentrusCoral reefAquatic SciencePlanktonbiology.organism_classification010603 evolutionary biology01 natural sciencesOceanographyBenthic zoneEnvironmental scienceMarine ecosystemDamselfishBehaviour Plasticity Climate change Coral reef fish Extreme environmentReefgeographic locationsCoral Reefs
researchProduct

Atlantic cod recovery from the Allee effect zone : contrasting ecological and evolutionary rescue

2020

The ability of a population to recover from disturbances is fundamental for its persistence. Impaired population recovery might be associated with a demographic Allee effect. Immigration from adjacent populations could accelerate the recovery not only by promoting population growth beyond the Allee effect threshold but also by bringing in advantageous genotypes. We explore the nature and role of ecological and evolutionary rescue in an Atlantic cod (Gadus morhua Gadidae) population fished below its Allee effect threshold. We utilize an eco-evolutionary model and simulate scenarios, where the target population evolves in response to selective fishing and sample immigrants from (a) a source p…

0106 biological sciencesharvest-induced evolutionadaptationManagement Monitoring Policy and LawAquatic SciencetehokalastusOceanography010603 evolutionary biology01 natural sciencesturskaDepensationsymbols.namesakepopulaatiot14. Life underwaterResilience (network)resilienceEcology Evolution Behavior and SystematicsAllee effectpopulation rebuildsopeutuminenresilienssipopulation collapsebiologyEcology010604 marine biology & hydrobiologykalakannatharvestingbiology.organism_classificationpopulaatioekologiaGeographydepensationsymbolskannanvaihtelutAdaptationAtlantic codEvolutionary rescue
researchProduct

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
researchProduct

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
researchProduct

Network analysis by simulated annealing of taxa and islands of Macaronesia (North Atlantic Ocean)

2018

With the aim of explaining the role that taxa and island features have in biogeographical patterns, we processed presence–absence matrices of all the Macaronesian native species of ten different taxa (arthropods, birds, bryophytes, fungi, lichens, mammals, mollusks, pteridophytes, reptiles and spermatophytes) through simulated annealing analysis. Distribution patterns among the archipelagos were pinpointed, along with the different biogeographic roles played by islands and species groups. All the networks analysed resulted to be significantly modular and the structure of biogeographic modules reflects known past connections among the archipelagos and the current drivers of species distribut…

0106 biological sciencesinsular networksisland biogeographyEcologyInsular biogeography010604 marine biology & hydrobiologyEcology (disciplines)insular network010603 evolutionary biology01 natural sciencesOceanographyGeographyTaxonsistemas insularesbiogeografía insularSimulated annealingMacaronesiaEcology Evolution Behavior and Systematics
researchProduct

Key Economic Characteristics of Italian Trawl Fisheries and Management Challenges

2017

Two key measures of economic performance are calculated and analyzed for three important Italian trawl fisheries (Northern Thyrrenian Sea, South of Sicily, Northern Adriatic Sea): the Net Economic Returns (NER), which informs on the economic performance and is considered a proxy of resource rent in fisheries and the Return on Fixed Tangible Assets (ROFTA), which is used as an approximation of the Return on Investment (ROI) and is a key financial and performance indicator for a fisherman in order to take a decision to operate in a fishery. The trend of these indicators over the last decade highlights a poor economic performance that is associated with an overall poor condition of the state o…

0106 biological scienceslcsh:QH1-199.5010504 meteorology & atmospheric sciencesFishingchallengesOcean Engineeringlcsh:General. Including nature conservation geographical distributionAquatic ScienceOceanography01 natural sciencesEconomic indicatorReturn on investmentmanagement planslcsh:Science0105 earth and related environmental sciencesWater Science and TechnologyGlobal and Planetary ChangeShort run010604 marine biology & hydrobiologymanagement arrangementstrawl fisheriesFisherylcsh:QProfitability indexFisheries managementResource rentPerformance indicatorBusinesseconomic indicators
researchProduct