Search results for "models"

showing 10 items of 8211 documents

Accounting for preferential sampling in species distribution models

2019

D. C., A. L. Q. and F. M. would like to thank the Ministerio de Educación y Ciencia (Spain) for financial support (jointly financed by the European Regional Development Fund) via Research Grants MTM2013‐42323‐P and MTM2016‐77501‐P, and ACOMP/2015/202 from Generalitat Valenciana (Spain). Species distribution models (SDMs) are now being widely used in ecology for management and conservation purposes across terrestrial, freshwater, and marine realms. The increasing interest in SDMs has drawn the attention of ecologists to spatial models and, in particular, to geostatistical models, which are used to associate observations of species occurrence or abundance with environmental covariates in a fi…

0106 biological sciencesComputer scienceQH301 BiologySpecies distributionPoint processesStochastic partial differential equation01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_6774EspèceAbundance (ecology)StatisticsPesqueríasQAOriginal Researchhttp://aims.fao.org/aos/agrovoc/c_241990303 health sciencesEcologyU10 - Informatique mathématiques et statistiquesSampling (statistics)Integrated nested Laplace approximationstochastic partial differential equationVariable (computer science)symbolsÉchantillonnageSpecies Distribution Models (SDMs)Modèle mathématiqueBayesian probabilityNDASDistribution des populations010603 evolutionary biologyQH30103 medical and health sciencessymbols.namesakeCovariateQA MathematicsSDG 14 - Life Below WaterCentro Oceanográfico de Murciaspecies distribution modelsRelative species abundanceEcology Evolution Behavior and Systematicspoint processes030304 developmental biologyNature and Landscape Conservationhttp://aims.fao.org/aos/agrovoc/c_6113http://aims.fao.org/aos/agrovoc/c_7280Markov chain Monte Carlointegrated nested Laplace approximationU30 - Méthodes de rechercheBayesian modelling
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Optimal conservation resource allocation under variable economic and ecological time discounting rates in boreal forest

2016

Resource allocation to multiple alternative conservation actions is a complex task. A common trade-off occurs between protection of smaller, expensive, high-quality areas versus larger, cheaper, partially degraded areas. We investigate optimal allocation into three actions in boreal forest: current standard forest management rules, setting aside of mature stands, or setting aside of clear-cuts. We first estimated how habitat availability for focal indicator species and economic returns from timber harvesting develop through time as a function of forest type and action chosen. We then developed an optimal resource allocation by accounting for budget size and habitat availability of indicator…

0106 biological sciencesConservation of Natural ResourcesEnvironmental EngineeringForest managementforest managementTime horizon010501 environmental sciencesManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciencesForest restorationResource AllocationTreesTaigaEconomicsconservation planningWaste Management and DisposalRestoration ecologyFinland0105 earth and related environmental sciencescomplementarityForest inventoryEcologybusiness.industryEcologyRobOff softwareEnvironmental resource managementLoggingForestryGeneral Medicine15. Life on landModels TheoreticalSustainabilityResource allocationta1181clear-cutbusinesshabitat restorationJournal of Environmental Management
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A multidisciplinary analytical framework to delineate spawning areas and quantify larval dispersal in coastal fish

2019

International audience; Assessing larval dispersal is essential to understand the structure and dynamics of marine populations. However, knowledge about early-life dispersal is sparse, and so is our understanding of the spawning process, perhaps the most obscure component of biphasic life cycles. Indeed, the poorly known species-specific spawning modality and early-life traits, along with the high spatio-temporal variability of the oceanic circulation experienced during larval drift, hamper our ability to properly appraise the realized connectivity of coastal fishes. Here, we propose an analytical framework which combines Lagrangian modeling, network theory, otolith analyses and biogeograph…

0106 biological sciencesConservation of Natural ResourcesOceans and SeasPopulation DynamicsCoastal fishEcosystem ManagementConservationAquatic ScienceOceanography010603 evolutionary biology01 natural sciencesFish natal originsmedicineMediterranean SeaAnimalsDiplodus vulgarisMarine ecosystem14. Life underwaterEcosystemOtolithMarine Protected AreaLagrangian Flow Network[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere[SDV.EE]Life Sciences [q-bio]/Ecology environmentFish natal originbiologyEcology010604 marine biology & hydrobiologyFishesMarine connectivityPelagic zoneGeneral MedicineDiplodusbiology.organism_classificationPollutionCoastal fishesCoastal fishemedicine.anatomical_structureLarvaBiological dispersalMarine protected areaModels-hydrodynamicsModels-hydrodynamic
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Biotrickling filter modeling for styrene abatement. Part 1: Model development, calibration and validation on an industrial scale

2017

Abstract A three-phase dynamic mathematical model based on mass balances describing the main processes in biotrickling filtration: convection, mass transfer, diffusion, and biodegradation was calibrated and validated for the simulation of an industrial styrene-degrading biotrickling filter. The model considered the key features of the industrial operation of biotrickling filters: variable conditions of loading and intermittent irrigation. These features were included in the model switching from the mathematical description of periods with and without irrigation. Model equations were based on the mass balances describing the main processes in biotrickling filtration: convection, mass transfe…

0106 biological sciencesConvectionEngineeringEnvironmental EngineeringHealth Toxicology and MutagenesiseducationBiotrickling filter010501 environmental sciencesResidence time (fluid dynamics)01 natural scienceslaw.invention:Enginyeria química::Química del medi ambient::Química atmosfèrica [Àrees temàtiques de la UPC]Filter (large eddy simulation)Bioreactorslaw010608 biotechnologyMass transferEnvironmental ChemistryGases - PurificationVolatile organic compoundDiffusion (business)FiltrationStyrene0105 earth and related environmental scienceschemistry.chemical_classificationgeographyAir PollutantsVolatile Organic Compoundsgeography.geographical_feature_categorybusiness.industryPublic Health Environmental and Occupational HealthEnvironmental engineeringGeneral MedicineGeneral ChemistryPilot unitModels TheoreticalVolatile organic compoundInletPollutionGasos - DepuracióBiodegradation EnvironmentalchemistryCalibrationMathematical modelingBiological air treatmentbusinessFiltration
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AtCCS is a functional homolog of the yeast copper chaperone Ccs1/Lys7

2005

AbstractIn plant chloroplasts two superoxide dismutase (SOD) activities occur, FeSOD and Cu/ZnSOD, with reciprocal regulation in response to copper availability. This system presents a unique model to study the regulation of metal-cofactor delivery to an organelle. The Arabidopsis thaliana gene AtCCS encodes a functional homolog to yeast Ccs1p/Lys7p, a copper chaperone for SOD. The AtCCS protein was localized to chloroplasts where it may supply copper to the stromal Cu/ZnSOD. AtCCS mRNA expression levels are upregulated in response to Cu-feeding and senescence. We propose that AtCCS expression is regulated to allow the most optimal use of Cu for photosynthesis.

0106 biological sciencesCu/Zn superoxide dismutaseChloroplastsSaccharomyces cerevisiae ProteinsMolecular Sequence DataArabidopsisBiophysicsSaccharomyces cerevisiaeMetallo chaperoneChloroplastModels Biological01 natural sciencesBiochemistryGreen fluorescent proteinSuperoxide dismutase03 medical and health sciencesDownregulation and upregulationGene Expression Regulation PlantStructural BiologyOrganelleGeneticsAmino Acid SequenceRNA MessengerMolecular BiologyGene030304 developmental biology0303 health sciencesbiologyArabidopsis ProteinsGene Expression ProfilingGenetic Complementation TestCell BiologyYeastChloroplastProtein TransportBiochemistryChaperone (protein)Mutationbiology.proteinSequence AlignmentCopperMolecular Chaperones010606 plant biology & botanyFEBS Letters
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Quorum Sensing and Density-Dependent Dispersal in an Aquatic Model System

2012

International audience; Many organisms use cues to decide whether to disperse or not, especially those related to the composition of their environment. Dispersal hence sometimes depends on population density, which can be important for the dynamics and evolution of subdivided populations. But very little is known about the factors that organisms use to inform their dispersal decision. We investigated the cues underlying density-dependent dispersal in interconnected microcosms of the freshwater protozoan Paramecium caudatum. In two experiments, we manipulated (i) the number of cells per microcosm and (ii) the origin of their culture medium (supernatant from high-or low-density populations). …

0106 biological sciencesDYNAMICSAquatic OrganismsParameciumPopulation DynamicsEMIGRATIONlcsh:MedicineMarine and Aquatic Sciences01 natural sciencesPopulation densityBehavioral EcologySpatial and Landscape Ecologylcsh:ScienceOrganismFreshwater Ecology0303 health sciencesMultidisciplinarybiologyEcologyAnimal BehaviorEcologySwarm behaviourQuorum Sensing[SDE]Environmental SciencesMicrocosmResearch ArticleFreshwater EnvironmentsSignal TransductionMetapopulation DynamicsSTRATEGIESMovementMarine Biology010603 evolutionary biologyModels Biological03 medical and health sciencesRATESBiologySOCIAL INFORMATION;EVOLUTION;EMIGRATION;STRATEGIES;DYNAMICS;LIZARD;RATES030304 developmental biologyPopulation Biologylcsh:RSOCIAL INFORMATIONLIZARDbiology.organism_classificationEVOLUTIONQuorum sensingEarth SciencesBiological dispersallcsh:QParamecium caudatumAdaptation[SDE.BE]Environmental Sciences/Biodiversity and EcologyZoologyEcological Environments
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Integrating spatial management measures into fisheries: The Lepidorhombus spp. case study

2020

Most fisheries management systems rely on a set of regulatory measures to achieve desired objectives. Controls on catch and effort are usually supplemented with gear restrictions, minimum landing sizes, and in the framework of the new common fisheries policy, limitation of discards and by-catch. However, the increasing use of spatial management measures such as conservation areas or spatial and temporal area closures faces new challenges for fishery managers. Here we present an integrated spatial framework to identify areas in which undersized commercial species are more abundant. Once these areas are identified they could be avoided by fishers, minimizing the fishing impact over the immatu…

0106 biological sciencesEconomics and EconometricsCentro Oceanográfico de SantanderFishingManagement Monitoring Policy and LawAquatic Science01 natural sciencesEnvironmental dataIntegrated fishery managementMedio MarinoUndersized fishBayesian modelsGeneral Environmental Sciencefishbiology010604 marine biology & hydrobiologySensitive areas04 agricultural and veterinary sciencesbiology.organism_classificationDiscardsFisheryLepidorhombusGeographyDiscardsocean policySpatial managementLanding obligation040102 fisheriesSpatial ecology0401 agriculture forestry and fisheriesFisheries managementMegrimecologyLaw
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Small-scale shrimp fisheries bycatch: a multi-criteria approach for data-poor situations

2020

Abstract Bycatch and discards from small-scale fisheries (SSF) are usually ignored when compared with industrial fisheries, not only by policy-makers, but also by scientists. Therefore, SSF social, economic and ecological impacts are poorly known and especially in the context of incidental catches, regardless of whether they become bycatch or discards. Such neglect is worrisome due to the role that SSF play in food security and poverty alleviation, particularly in coastal and rural communities in developing countries. In this study, a combination of sampling data and the fishers' behavior (specifically the basis of their decision on where to fish) were used. Bayesian models were applied to …

0106 biological sciencesEconomics and EconometricsFishingFishers' behaviorContext (language use)Management Monitoring Policy and LawAquatic Science01 natural sciencesCentro Oceanográfico de MurciaPesqueríasBayesian modelsGeneral Environmental ScienceFood security010604 marine biology & hydrobiologyShrimp fisherySubsistence agriculture04 agricultural and veterinary sciencesLivelihoodDiscardsBycatchFisheryGeographyEconomic incentives040102 fisheries0401 agriculture forestry and fisheriesLaw
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Decoding Group Vocalizations: The Acoustic Energy Distribution of Chorus Howls Is Useful to Determine Wolf Reproduction

2016

Population monitoring is crucial for wildlife management and conservation. In the last few decades, wildlife researchers have increasingly applied bioacoustics tools to obtain information on several essential ecological parameters, such as distribution and abundance. One such application involves wolves (Canis lupus). These canids respond to simulated howls by emitting group vocalizations known as chorus howls. These responses to simulated howls reveal the presence of wolf litters during the breeding period and are therefore often used to determine the status of wolf populations. However, the acoustic structure of chorus howls is complex and discriminating the presence of pups in a chorus i…

0106 biological sciencesEntropyPopulation Dynamicslcsh:MedicineWildlife01 natural sciencesVocalizationMathematical and Statistical Techniqueslcsh:ScienceAnimal Signaling and CommunicationIberian wolfMammalseducation.field_of_studyMultidisciplinarybiologyAnimal BehaviorBehavior AnimalEcologyPhysicsReproductionAcoustic energyCanisPhysical SciencesVertebratesThermodynamicsCartographyStatistics (Mathematics)Research ArticleConservation of Natural ResourcesBioacousticsAnimal TypesPopulationResearch and Analysis Methods010603 evolutionary biologyCoyotesAcoustic SignalsAnimalsWildlife managementStatistical MethodseducationEcosystemBehaviorWolvesReproductive success010604 marine biology & hydrobiologylcsh:RChorusOrganismsBiology and Life SciencesAcousticsJackalsModels Theoreticalbiology.organism_classificationAmnioteslcsh:QVocalization AnimalZoologyBioacousticsMathematicsForecasting
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Simple learning rules to cope with changing environments

2008

10 pages; International audience; We consider an agent that must choose repeatedly among several actions. Each action has a certain probability of giving the agent an energy reward, and costs may be associated with switching between actions. The agent does not know which action has the highest reward probability, and the probabilities change randomly over time. We study two learning rules that have been widely used to model decision-making processes in animals-one deterministic and the other stochastic. In particular, we examine the influence of the rules' 'learning rate' on the agent's energy gain. We compare the performance of each rule with the best performance attainable when the agent …

0106 biological sciencesError-driven learningExploitComputer scienceEnergy (esotericism)Biomedical EngineeringBiophysicsBioengineeringanimal behavior010603 evolutionary biology01 natural sciencesBiochemistryMulti-armed banditModels Biologicaldecision makingBiomaterials03 medical and health sciences[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalsLearningComputer Simulation[ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]multi-armed banditEcosystem030304 developmental biologySimple (philosophy)0303 health sciences[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologybusiness.industrydynamic environmentslearning rulesdecision-making[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Unlimited periodRange (mathematics)Action (philosophy)Artificial intelligence[SDE.BE]Environmental Sciences/Biodiversity and Ecology[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businessBiotechnologyResearch Article[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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