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showing 10 items of 16104 documents

Assessing the added value of the recent declaration on unregulated fishing for sustainable governance of the central Arctic Ocean

2016

Accepted manuscript version. Published version available at https://doi.org/10.1016/j.marpol.2016.01.013. Accepted manuscript version, licensed CC BY-NC-ND 4.0. The ‘Declaration concerning the prevention of unregulated high seas fishing in the central Arctic Ocean’ signed by the Arctic 5 nations, limits unregulated high seas fishing in the central part of the Arctic Ocean, and holds potential social, economic and political impacts for numerous stakeholders. In this paper, the four Interim Measures in the Declaration are discussed and what value these measures bring beyond the existing international agreements is explored. It is found that even though the Declaration fills a gap in the manag…

0106 biological sciencesEconomics and EconometricsArctic five010504 meteorology & atmospheric sciencesFishingDeclarationDeclarationManagement Monitoring Policy and LawAquatic ScienceFish stock01 natural sciences[SHS]Humanities and Social SciencesUnited Nations Convention on the Law of the SeaInterimArctic Ocean14. Life underwaterVDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920Digital media0105 earth and related environmental sciencesGeneral Environmental ScienceVDP::Agriculture and fishery disciplines: 900::Fisheries science: 920business.industry010604 marine biology & hydrobiologyResource managementEnvironmental resource managementExclusive economic zoneArctic Ocean; Fishing; Resource management; Arctic five; DeclarationArcticInternational waters13. Climate actionFishing/dk/atira/pure/core/keywords/digitale_medienbusinessLaw
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Multiple‐batch spawning as a bet‐hedging strategy in highly stochastic environments: An exploratory analysis of Atlantic cod

2021

Stochastic environments shape life‐history traits and can promote selection for risk‐spreading strategies, such as bet‐hedging. Although the strategy has often been hypothesised to exist for various species, empirical tests providing firm evidence have been rare, mainly due to the challenge in tracking fitness across generations. Here, we take a ‘proof of principle’ approach to explore whether the reproductive strategy of multiple‐batch spawning constitutes a bet‐hedging. We used Atlantic cod (Gadus morhua) as the study species and parameterised an eco‐evolutionary model, using empirical data on size‐related reproductive and survival traits. To evaluate the fitness benefits of multiple‐batc…

0106 biological sciencesEmpirical dataEvolutionReproductive strategyBiology010603 evolutionary biology01 natural sciencesrisk‐spreadingturskaEnvironmental riskGeneticsQH359-425Gadus14. Life underwaterEcology Evolution Behavior and SystematicsSelection (genetic algorithm)VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920kuntosopeutuminenlisääntymiskäyttäytyminenEcology010604 marine biology & hydrobiologyOriginal ArticlesExploratory analysisbiology.organism_classificationlisääntyminenfitnesselinkiertomultiple‐batch spawningAtlantic codTraitOriginal Articlebet‐hedgingGeneral Agricultural and Biological SciencesAtlantic codenvironmental stochasticityympäristönmuutoksetEvolutionary Applications
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Species specificity of trail pheromones of fungus-growing termites from northern Vietnam

2001

Trail-following pheromones were studied in four fungus-growing termites from northern Vietnam: Macrotermes annandalei, M. barneyi, Odontotermes hainanensis and O. maesodensis. From bioassays, we suggest that trail pheromones of these species are composed of a common or anony-mous signal, as well as species-specific signals. The anonymous signal has been identified by GC-MS as (Z)-dodec-3-en-1-ol for each species from extracts of sternal glands and from solid phase microextraction of the surface of their sternal gland. This compound is secreted in much higher quantities (up to 1.4 ng/worker) than dodecatrienol, another anonymous signal of trail-following in termites. (Z)-dodec-3-en-1-ol is a…

0106 biological sciencesEntomologyfood.ingredientDodecatrienol[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process EngineeringZoology010603 evolutionary biology01 natural sciencesFungus-growing termitesfood[SDV.IDA]Life Sciences [q-bio]/Food engineeringMacrotermes[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringMacrotermes annandaleiEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUSbiologyEcology[SDV.IDA] Life Sciences [q-bio]/Food engineeringbiology.organism_classification010602 entomologyTermitidaeInsect ScienceSex pheromoneGC-MSMacrotermitinae
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Assessment and characterization of the bacterial community structure in advanced activated sludge systems

2019

Abstract The present study is aimed to assess and characterize the structure of bacterial community in advanced activated sludge systems. In particular, activated sludge samples were collected from an Integrated Fixed-film Activated Sludge – Membrane Bioreactor pilot plant under a University of Cape Town configuration with in-series anaerobic (Noair)/anoxic (Anox)/aerobic (Oxy) reactors – and further analyzed. The achieved results – based on Next Generation Sequencing (NGS) of 16S rDNA amplicons – revealed that the bacterial biofilm (bf) communities on plastic carriers of Oxy and Anox reactors had a greater diversity compared to suspended (sp) bacterial flocs of Oxy, Anox and Noair. Indeed,…

0106 biological sciencesEnvironmental EngineeringIFAS-MBRBiomassBioengineeringWastewater treatment010501 environmental sciencesMembrane bioreactor01 natural sciencesBioreactors010608 biotechnologyBiomassRhodobacteraceaeDNA extractionWaste Management and DisposalNGS of 16S rDNA amplicon0105 earth and related environmental sciencesSewageSettore ICAR/03 - Ingegneria Sanitaria-AmbientalebiologyRenewable Energy Sustainability and the EnvironmentChemistryMicrobiotaBiofilmGeneral Medicinebiology.organism_classificationPulp and paper industryAnoxic watersActivated sludgeBiofilmsSewage treatment16S rRNA geneBacterial communityBacteriaBioresource Technology
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Lake eutrophication and brownification downgrade availability and transfer of essential fatty acids for human consumption

2016

Article

0106 biological sciencesFISH COMMUNITY STRUCTUREDOCEnvironmental change01 natural sciencesPredatory fishEnvironmental Science(all)EUDIAPTOMUS-GRACILISEnvironmental change; Human nutritionahvenFood sciencePERCH PERCA-FLUVIATILISBiomassfosforilcsh:Environmental sciencesGeneral Environmental ScienceTrophic level2. Zero hungerlcsh:GE1-350PerchBiomass (ecology)FINNISH LAKESBOREAL LAKESbiologyEcologyHuman nutritionFatty AcidsFishesfood and beveragesPhosphorusEutrophicationEicosapentaenoic acid6. Clean waterFood webDHAEicosapentaenoic Acid1181 Ecology evolutionary biologyFatty Acids Unsaturatedlipids (amino acids peptides and proteins)PLANKTONIC ALGAEPerchFood ChainDocosahexaenoic Acidsta1172010603 evolutionary biologyPhytoplanktonAnimalsHumansDISSOLVED ORGANIC-CARBON14. Life underwaterhuman nutritionFatty Acids Essential010604 marine biology & hydrobiologyfungiEUROPEAN LAKESEPA15. Life on landbiology.organism_classificationLakesAquatic food webs13. Climate actionPerchesEURASIAN PERCHPhytoplanktonta1181EutrophicationFRESH-WATER MICROALGAE
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A Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data

2018

This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. In particular, we present global maps at 500 m resolution of specific leaf area, leaf dry matter content, leaf nitrogen and phosphorus content per dry mass, and leaf nitrogen/phosphorus ratio. The processing chain exploits machine learning techniques along with optical remote sensing data (MODIS/Landsat) and climate data for gap filling and up-scaling of in-situ measured leaf traits. The chain first uses random forests regression with surrogates to fill gaps in the database (> 45% of missing entries) and maximizes the global representativeness of the trait dataset. Plant species are then a…

0106 biological sciencesFOS: Computer and information sciences010504 meteorology & atmospheric sciencesSpecific leaf areaClimateBos- en LandschapsecologieSoil ScienceFOS: Physical sciencesApplied Physics (physics.app-ph)010603 evolutionary biology01 natural sciencesStatistics - ApplicationsGoodness of fitAbundance (ecology)Machine learningForest and Landscape EcologyApplications (stat.AP)Computers in Earth SciencesPlant ecologyVegetatie0105 earth and related environmental sciencesRemote sensingMathematics2. Zero hungerPlant traitsVegetationData stream miningClimate; Landsat; Machine learning; MODIS; Plant ecology; Plant traits; Random forests; Remote sensing; Soil Science; Geology; Computers in Earth SciencesGlobal MapRegression analysisGeologyPhysics - Applied Physics15. Life on landRandom forestsRemote sensingPE&RCRandom forestMODISTraitVegetatie Bos- en LandschapsecologieVegetation Forest and Landscape EcologyLandsat
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Temperate Fish Detection and Classification: a Deep Learning based Approach

2021

A wide range of applications in marine ecology extensively uses underwater cameras. Still, to efficiently process the vast amount of data generated, we need to develop tools that can automatically detect and recognize species captured on film. Classifying fish species from videos and images in natural environments can be challenging because of noise and variation in illumination and the surrounding habitat. In this paper, we propose a two-step deep learning approach for the detection and classification of temperate fishes without pre-filtering. The first step is to detect each single fish in an image, independent of species and sex. For this purpose, we employ the You Only Look Once (YOLO) …

0106 biological sciencesFOS: Computer and information sciencesComputer Science - Machine LearningComputer scienceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognition010603 evolutionary biology01 natural sciencesConvolutional neural networkVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Machine Learning (cs.LG)Artificial IntelligenceClassifier (linguistics)FOS: Electrical engineering electronic engineering information engineeringbusiness.industry010604 marine biology & hydrobiologyDeep learningImage and Video Processing (eess.IV)Process (computing)Pattern recognitionElectrical Engineering and Systems Science - Image and Video ProcessingObject detectionA priori and a posterioriNoise (video)Artificial intelligenceTransfer of learningbusiness
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Comparative biogeography of echinoids, bivalves and gastropods from the Southern Ocean.

2013

ABSTRACTAim Biogeographical patterns within three classes, the Echinoidea, Bivalvia andGastropoda, were investigated in Antarctic, sub-Antarctic and cold-temperateareas based on species occurrence data. Faunal similarities among regions wereanalysed to: (1) test the robustness of the biogeographical patterns previouslyidentified in bivalves and gastropods; (2) compare them with the biogeographi-cal patterns identified for echinoids; and (3) evaluate the reliability of the bio-geographical provinces previously proposed, depending on the taxa andtaxonomic levels analysed.Location The Southern Ocean, sub-Antarctic islands and cold-temperate areassouth of 45° S latitude at depths of < 1000 m.Meth…

0106 biological sciencesFaunaBiogeographyBiology010603 evolutionary biology01 natural sciencesLatitude[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsGenusvicarianceVicariance14. Life underwaterdispersalEcology Evolution Behavior and Systematicstrans-Antarctic seaway[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologysub-AntarcticEcologyEcology010604 marine biology & hydrobiologybootstrapped spanning networkCircumpolar star15. Life on land[ SDV.EE.ECO ] Life Sciences [q-bio]/Ecology environment/EcosystemsTaxon13. Climate actionBiological dispersalAntarctic[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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Coping styles in farmed fish: consequences for aquaculture

2017

Individual differences in physiological and behavioural responses to stressors are increasingly recognised as adaptive variation and thus raw material for evolution and fish farming improvements including selective breeding. Such individual variation has been evolutionarily conserved and is present in all vertebrate taxa including fish. In farmed animals, the interest in consistent trait associations, that is coping styles, has increased dramatically over the last years because many studies have demonstrated links to performance traits, health and disease susceptibility and welfare. This study will review (i) the main behavioural, neuroendocrine, cognitive and emotional differences between …

0106 biological sciencesFish farmingmedia_common.quotation_subjectThe-Year PerchRainbow-TroutManagement Monitoring Policy and LawAquatic Science010603 evolutionary biology01 natural sciencesCatfish Clarias-GariepinusDevelopmental psychologyAquaculturePersonality0501 psychology and cognitive sciences050102 behavioral science & comparative psychology14. Life underwatermedia_commonSalmon Salmo-SalarEuropean Sea-BassEcologybusiness.industryEcologyindividual variationSole Solea-Senegalensis05 social sciencesStressorSocial environmentStress-ResponsivenessCognitionstress responseSeabream Sparus-AurataTrout Oncorhynchus-MykissPeer reviewpersonalitybehavioural syndromesTraitbusinessfarm animalsAfrican Catfish
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Genetic structure and molecular variability of grapevine fanleaf virus in sicily

2021

Grapevine fanleaf virus (GFLV) is one of the main causes of grapevine fanleaf degeneration disease (GFDD) and is present in almost all areas where grapevine is cultivated. In this work, we ascertained the presence and spread of GFLV in different commercial vineyards in four Sicilian provinces (Italy), and its genetic structure and molecular variability were studied. In detail, a total of 617 grapevine samples of 11 autochthonous grapevine cultivars were collected in 20 commercial vineyards. Preliminary screening by serological (DAS-ELISA) and molecular (RT-PCR) analyses for ArMV (arabis mosaic virus) and GFLV detection were conducted. Results obtained showed the absence of ArMV in all the s…

0106 biological sciencesGFLVAgriculture (General)molecular variabilityGFLV; grapevine disease; molecular variability; DAS-ELISA; RT-PCR; phylogenetic analysisRT-PCRPlant Science01 natural sciencesS1-972Arabis mosaic virus03 medical and health sciencesCultivar030304 developmental biology0303 health sciencesPhylogenetic treebiologyphylogenetic analysisSettore AGR/12 - Patologia VegetaleGrapevine fanleaf virusbiology.organism_classificationlanguage.human_languageSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeHorticulturegrapevine diseaseGenetic structurelanguageDAS-ELISAAgronomy and Crop ScienceSicilian010606 plant biology & botanyFood Science
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