Search results for " Process"

showing 10 items of 17204 documents

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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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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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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The effect of maze complexity on maze-solving time in a desert ant

2019

One neglected aspect of research on foraging behavior is that of the effect of obstacles that increase habitat complexity on foraging efficiency. Here, we explored how long it takes individually foraging desert ant workers (Cataglyphis niger) to reach a food reward in a maze, and examined whether maze complexity affects maze-solving time (the time elapsed till the first worker reached the food reward). The test mazes differed in their complexity level, or the relative number of correct paths leading to the food reward, vs. wrong paths leading to dead-ends. Maze-solving time steeply increased with maze complexity, but was unaffected by colony size, despite the positive correlation between co…

0106 biological sciencesTime FactorsForagingPositive correlation010603 evolutionary biology01 natural sciencesBehavioral NeuroscienceRandom searchRewardStatisticsAnimals0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyMaze LearningMathematicsbiologyAnts05 social sciencesFeeding BehaviorGeneral Medicinebiology.organism_classificationFoodCataglyphisExploratory BehaviorAnimal Science and ZoologyCataglyphis nigerpsychological phenomena and processesBehavioural Processes
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The irreducible uncertainty of the demography–environment interaction in ecology

2002

The interpretation of ecological data has been greatly improved by bridging the gap between ecological and statistical models. The major challenge is to separate competing hypotheses concerning demography, or other ecological relationships, and environmental variability (noise). In this paper we demonstrate that this may be an arduous, if not impossible, task. It is the lack of adequate ecological theory, rather than statistical sophistication, which leads to this problem. A reconstruction of underlying ecological processes can only be done if we are certain of either the demographic or the noise model, which is something that can only be achieved by an improved theory of stochastic ecologi…

0106 biological sciencesTime Factorsmedia_common.quotation_subjectPopulation DynamicsBiologyEcological systems theoryModels Biological010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyEcological relationshipEconometricsAnimalsNatural ecosystemEnvironmental noiseSophisticationEcosystemGeneral Environmental Sciencemedia_commonStochastic ProcessesModels StatisticalGeneral Immunology and MicrobiologyEcologyStochastic process010604 marine biology & hydrobiologySystem identificationStatistical modelGeneral MedicineBiological Sciences13. Climate actionGeneral Agricultural and Biological SciencesResearch ArticleDemographyProceedings of the Royal Society of London. Series B: Biological Sciences
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Guidance for the risk assessment of the presence at low level of genetically modified plant material in imported food and feed under Regulation (EC) …

2017

Abstract This document provides guidance for the risk assessment under Regulation (EC) No 1829/2003 of the unintended, adventitious or technically unavoidable presence in food and feed of low level of genetically modified plant material intended for markets other than in the European Union. In this context, the presence at low level is defined to be maximum 0.9% of genetically modified plant material per ingredient. This guidance is intended to assist applicants by indicating which scientific requirements of Annex II of Regulation (EU) No 503/2013 are considered necessary for the risk assessment of the presence at low levels of genetically modified plant material in food and feed.

0106 biological sciencesVeterinary (miscellaneous)[SDV]Life Sciences [q-bio]Context (language use)Plant ScienceGenetically modified crops010501 environmental sciences01 natural sciencesMicrobiologyRegulation (EU) No 503/2013Ingredientpresence at low level[SDV.IDA]Life Sciences [q-bio]/Food engineeringmedia_common.cataloged_instance[SDV.BV]Life Sciences [q-bio]/Vegetal BiologySettore AGR/18 - Nutrizione E Alimentazione Animale[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringEuropean unionfood/feed0105 earth and related environmental sciencesmedia_commonguidance;GMO;presence at low level;risk assessment;Regulation (EC) No 1829/2003;Regulation (EU) No 503/2013;food/feedbusiness.industryGMORegulation (EC) No 1829/2003risk assessmentguidance; GMO; presence at low level; risk assessment; Regulation (EC) No 1829/2003; Regulation (EU) No 503/2013; food/feed10079 Institute of Veterinary Pharmacology and ToxicologyFood safetyBiotechnologyRegulation (EU) No 503/2013Scientific OpinionSettore AGR/11 - Entomologia Generale E Applicata570 Life sciences; biologyAnimal Science and ZoologyParasitologyRisk assessmentbusinessguidanceRegulation (EC) No 1829/2003010606 plant biology & botanyFood Science
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