Search results for "Process"

showing 10 items of 22310 documents

Volcanic CO2 seep geochemistry and use in understanding ocean acidification

2020

AbstractOcean acidification is one of the most dramatic effects of the massive atmospheric release of anthropogenic carbon dioxide (CO2) that has occurred since the Industrial Revolution, although its effects on marine ecosystems are not well understood. Submarine volcanic hydrothermal fields have geochemical conditions that provide opportunities to characterise the effects of elevated levels of seawater CO2 on marine life in the field. Here, we review the geochemical aspects of shallow marine CO2-rich seeps worldwide, focusing on both gas composition and water chemistry. We then describe the geochemical effects of volcanic CO2 seepage on the overlying seawater column. We also present new g…

0106 biological sciencesSettore BIO/07 - Ecologia010504 meteorology & atmospheric sciencesGeochemistryMarine life01 natural scienceschemistry.chemical_compoundAlgaeEnvironmental ChemistrySubmarine hydrothermalismMarine ecosystem0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and TechnologyCalcifying speciesCarbon dioxide in Earth's atmospherebiology010604 marine biology & hydrobiologyNatural analoguesCoralline algaeOcean acidificationbiology.organism_classificationEcosystem effectsSettore GEO/08 - Geochimica E VulcanologiachemistryCarbon dioxideEnvironmental scienceSeawater
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Small-scale variability in geomorphological settings influences mangrove-derived organic matter export in a tropical bay

2017

Abstract. Organic matter (OM) exchanges between adjacent habitats affect the dynamics and functioning of coastal systems, as well as the role of the different primary producers as energy and nutrient sources in food webs. Elemental (C, N, C : N) and isotope (δ13C) signatures and fatty acid (FA) profiles were used to assess the influence of geomorphological setting in two climatic seasons on the export and fate of mangrove OM across a tidally influenced tropical area, Gazi Bay (Kenya). The main results indicate that tidal transport, along with riverine runoff, plays a significant role in the distribution of mangrove organic matter. In particular, a marked spatial variability in the export of…

0106 biological sciencesSettore BIO/07 - Ecologia010504 meteorology & atmospheric scienceslcsh:Life01 natural scienceslcsh:QH540-549.5Dissolved organic carbonEcosystemOrganic matter14. Life underwaterEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEarth-Surface Processeschemistry.chemical_classificationgeographygeography.geographical_feature_categorybiologyPrimary producersEcology010604 marine biology & hydrobiologylcsh:QE1-996.5fatty acids stable isotopes sedimentary organic matter suspended organic matterCoral reef15. Life on landbiology.organism_classificationlcsh:Geologylcsh:QH501-531OceanographySeagrasschemistry13. Climate actionEnvironmental sciencelcsh:EcologyMangroveBay
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Descriptors of Posidonia oceanica meadows: Use and application

2005

This work benefited partly from the financial support of the European program ΓNTERREG IIIA Corsica, Sardinia. Tuscany

0106 biological sciencesStandardizationProcess (engineering)Computer sciencemedia_common.quotation_subjectGeneral Decision SciencesDistribution (economics)Coastal biodiversity conservation010501 environmental sciences01 natural scienceslimits; advantages; mediterranean sea; bioindicator; posidonia oceanica; standardized methodsLittoral zoneQuality (business)14. Life underwaterMarine ecosystem managementEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesmedia_commonValuation (finance)Indicators (Biology)Ecologybiologybusiness.industryEcology010604 marine biology & hydrobiologyScale (chemistry)Environmental resource managementPosidonia oceanica15. Life on landbiology.organism_classificationPosidonia oceanicaPosidonia oceanica Mediterranean sea Bioindicator Standardized methods Advantages Limitsbusiness
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Hierarchical log Gaussian Cox process for regeneration in uneven-aged forests

2021

We propose a hierarchical log Gaussian Cox process (LGCP) for point patterns, where a set of points x affects another set of points y but not vice versa. We use the model to investigate the effect of large trees to the locations of seedlings. In the model, every point in x has a parametric influence kernel or signal, which together form an influence field. Conditionally on the parameters, the influence field acts as a spatial covariate in the intensity of the model, and the intensity itself is a non-linear function of the parameters. Points outside the observation window may affect the influence field inside the window. We propose an edge correction to account for this missing data. The par…

0106 biological sciencesStatistics and ProbabilityFOS: Computer and information sciences62F15 (Primary) 62M30 60G55 (Secondary)MCMCGaussianBayesian inferenceMarkovin ketjutStatistics - Applications010603 evolutionary biology01 natural sciencesCox processMethodology (stat.ME)010104 statistics & probabilitysymbols.namesakeregeneraatio (biologia)Applied mathematicsApplications (stat.AP)0101 mathematicsLaplace approximationStatistics - MethodologyGeneral Environmental ScienceParametric statisticsMathematicsspatial random effectsbayesilainen menetelmäMarkov chain Monte CarloFunction (mathematics)15. Life on landMissing dataMonte Carlo -menetelmätcompetition kernelLaplace's methodKernel (statistics)symbolstree regenerationpuustometsänhoitomatemaattiset mallitStatistics Probability and Uncertainty
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The role of noise on the steady state distributions of phytoplankton populations

2016

The spatio-temporal behaviour of total chlorophyll concentration is investigated in the middle of the Tyrrhenian Sea by using a stochastic approach. The study is based on a reaction-diffusion-taxis model, which is used to analyse the dynamics of five phytoplankton groups, responsible for about 80% of the total chlorophyll a inside the euphotic zone of the water column. The analysis is performed by considering: (i) the intraspecific competition of the phytoplanktonic groups for limiting factors, i.e. light intensity and nutrient concentration, (ii) the seasonal changes of environmental variables, and (iii) the random fluctuations of the components of the velocity field and temperature. Speci…

0106 biological sciencesStatistics and ProbabilityPhysicsSteady state (electronics)010504 meteorology & atmospheric sciences010604 marine biology & hydrobiologyturbulenceHydrodynamic fluctuationstochastic processes (theory)Statistical and Nonlinear Physics01 natural sciencesSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)NoisePhytoplanktonHydrodynamic fluctuations; stochastic particle dynamics (theory); stochastic processes (theory); turbulence; Statistical and Nonlinear Physics; Statistics and Probability; Statistics Probability and Uncertaintystochastic particle dynamics (theory)Statistical physicsStatistics Probability and UncertaintyStatistical and Nonlinear Physic0105 earth and related environmental sciencesJournal of Statistical Mechanics: Theory and Experiment
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Spatio-Temporal model structures with shared components for semi-continuous species distribution modelling

2017

Abstract Understanding the spatio-temporal dynamism and environmental relationships of species is essential for the conservation of natural resources. Many spatio-temporally sampled processes result in continuous positive [ 0 , ∞ ) abundance datasets that have many zero values observed in areas that lie outside their optimum niche. In such cases the most common option is to use two-part or hurdle models, which fit independent models and consequently independent environmental effects to occurrence and conditional-to-presence abundance. This may be correct in some cases, but not as much in others where the detection probability is related to the abundance. The aim of this work is to infer the…

0106 biological sciencesStatistics and ProbabilityProcess (engineering)Computer science010604 marine biology & hydrobiologyNicheManagement Monitoring Policy and Lawcomputer.software_genre01 natural sciencesNatural resourceEnvironmental niche modelling010104 statistics & probabilityAbundance (ecology)Component (UML)Data miningDynamism0101 mathematicsComputers in Earth SciencescomputerBayesian krigingSpatial Statistics
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Seed Bank in Annuals: Competition Between Banker and Non-banker Morphs

2002

Seed bank is a plant life history strategy against the unpredictability of the biotic and the abiotic environment. We simulated competition between a seed banking and a non-banking morph of an annual plant. A constant fraction of the banker morph seeds was allocated to the seed bank, where they had a constant mortality and germination rate. All surviving seeds of the non-banker morph germinated in the next generation. The seedlings of both morphs experienced similar density-dependent mortality. Whether one of the morphs wins or the morphs coexist was evaluated from parameter space plots and statistically with logistic regression analysis. All parameters of the model had a significant, nonli…

0106 biological sciencesStatistics and Probabilitygenetic structuresmedia_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGerminationModel parametersBiologyModels Biological010603 evolutionary biology01 natural sciencesGeneralLiterature_MISCELLANEOUSGeneral Biochemistry Genetics and Molecular BiologyPlant lifeCompetition (biology)BotanyEcosystemBiological sciencesEcosystemreproductive and urinary physiologyComputingMethodologies_COMPUTERGRAPHICSmedia_commonAbiotic componentGeneral Immunology and MicrobiologyReproductionApplied MathematicsfungiGeneral Medicine15. Life on landhumanitiesLogistic ModelsAgronomyGerminationModeling and SimulationSeedsAnnual plantGeneral Agricultural and Biological Sciencespsychological phenomena and processes010606 plant biology & botanyJournal of Theoretical Biology
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NMR structure determination of (11E)-trinervita-1(14),2,11-triene, a new diterpene from sexual glands of termites

2005

Graphical Abstract Full-size image; International audience; Female alates of Nasutitermes ephratae termites from Guadeloupe and Nasutitermes sp. from Brazil produce a diterpene hydrocarbon of the molecular formula C20H30 as the main component of their tergal gland secretion. Analysis of NMR, IR, and mass spectra of the diterpene led to a structure of (11E)-trinervita-1(14),2,11-triene. Based on a comparison with the published oxygenated trinervitane skeleton from termites we prefer the enantiomer with absolute configurations (4R,7S,8R,15S,16S). The suggested structure is supported by ab initio quantum chemical calculation of 1H and 13C chemical shifts for the optimized geometry of the molec…

0106 biological sciencesStereochemistryAb initio1H and 13C010402 general chemistry01 natural sciencesBiochemistry1H-RMN; 13C-RMNTerpene03 medical and health scienceschemistry.chemical_compoundDrug Discovery[SDV.IDA]Life Sciences [q-bio]/Food engineeringNasutitermesOrganic chemistryMoleculeDITERPENE HYDROCARBONPHEROMONE[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringGLANDE TERGALE FEMELLEDITERPENIQUE030304 developmental biologyFEMALE TERGAL GLANDchemistry.chemical_classification0303 health sciencesbiology010405 organic chemistryChemical shiftOrganic ChemistryTERMITEGeneral Medicinebiology.organism_classification0104 chemical sciences010602 entomologyHydrocarbonchemistryTRINERVITANEMass spectrumEnantiomerDiterpene
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Reconstruction and analysis of genome-scale metabolic model of a photosynthetic bacterium

2010

Abstract Background Synechocystis sp. PCC6803 is a cyanobacterium considered as a candidate photo-biological production platform - an attractive cell factory capable of using CO2 and light as carbon and energy source, respectively. In order to enable efficient use of metabolic potential of Synechocystis sp. PCC6803, it is of importance to develop tools for uncovering stoichiometric and regulatory principles in the Synechocystis metabolic network. Results We report the most comprehensive metabolic model of Synechocystis sp. PCC6803 available, iSyn669, which includes 882 reactions, associated with 669 genes, and 790 metabolites. The model includes a detailed biomass equation which encompasses…

0106 biological sciencesSystems biologyIn silicoMetabolic networkComputational biologyBiologyModels Biological01 natural sciencesMetabolic engineeringGene Knockout Techniques03 medical and health sciencesStructural BiologyModelling and Simulation010608 biotechnologyBotanyBiomassPhotosynthesislcsh:QH301-705.5Molecular Biology030304 developmental biologyAutotrophic Processes0303 health sciencesGene Expression ProfilingApplied MathematicsSynechocystisSynechocystisGenomicsDarknessbiology.organism_classificationComputer Science ApplicationsFlux balance analysislcsh:Biology (General)Genes BacterialAutotrophic ProcessesModeling and SimulationEnergy sourceGenome BacterialResearch ArticleBMC Systems Biology
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High-resolution numerical modelling of the barotropic tides in the Gulf of Gabes, eastern Mediterranean Sea (Tunisia)

2017

International audience; A high-resolution 2D barotropic tidal model was developed for the Gulf of Gabes and used to characterise hydrodynamic processes and tidal dynamics. The model is based on the Regional Ocean Modelling System. It is forced at the open boundaries by the semidiurnal M2 and S2 astronomical components while meteorological forcing has been neglected. The model results show good agreement with observations confirming that it reproduces the gulf's main tidal characteristics reasonably well. In fact, the simulated semidiurnal tidal components M2 and S2 generate important sea level variations and coastal currents. Tidal propagation is directed to the gulf's western sector while …

0106 biological sciencesTidal resonance010504 meteorology & atmospheric sciencesHigh resolutionForcing (mathematics)01 natural sciences[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentTidal ModelBarotropic fluidSpring (hydrology)High resolution14. Life underwaterGulf of GabesSea level0105 earth and related environmental sciencesEarth-Surface Processes[SDV.EE]Life Sciences [q-bio]/Ecology environmentgeographygeography.geographical_feature_category010604 marine biology & hydrobiologyTideGeologyInletOceanographyNumerical modellingHydrodynamicsGeology
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