Search results for "Modelli"

showing 10 items of 1866 documents

Tracking management-related water quality alterations by phytoplankton assemblages in a tropical reservoir

2015

Water quality improvement and suppression of cyanobacterial blooms were planned in a eutrophic reservoir in southern China through ecological engineering measures from 2006 to 2011. This consisted in (i) a hydraulic resetting of inflows and outflows to increase the distance between inlet and outlet and the water residence time in the reservoir, and in (ii) the installation of floating frames hosting wetland vegetation to promote an alteration in phytoplankton composition. The environmental changes were therefore followed through the analysis of biotic responses in phytoplankton assemblages. Ecological engineering was effective in reducing phytoplankton total biomass, in re-establishing more…

0106 biological sciencesGeneralized additive modellingContext (language use)Aquatic Science010603 evolutionary biology01 natural sciencesMorpho-functional groupsC–S–R-modelSettore BIO/07 - ECOLOGIAPhytoplanktonRuderal speciesReservoirTrophic levelHydrologyPhytoplankton Morpho-functional groups C–S–R-model Generalized additive modelling Ecological engineering Reservoirgeographygeography.geographical_feature_categoryEcology010604 marine biology & hydrobiologyEcological engineeringInletEcological engineeringPhytoplanktonSettore BIO/03 - Botanica Ambientale E ApplicataEnvironmental scienceWater qualityEutrophication
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Dynamic Mathematical Modelling of the Removal of Hydrophilic VOCs by Biotrickling Filters

2015

A mathematical model for the simulation of the removal of hydrophilic compounds using biotrickling filtration was developed. The model takes into account that biotrickling filters operate by using an intermittent spraying pattern. During spraying periods, a mobile liquid phase was considered, while during non-spraying periods, a stagnant liquid phase was considered. The model was calibrated and validated with data from laboratory- and industrial-scale biotrickling filters. The laboratory experiments exhibited peaks of pollutants in the outlet of the biotrickling filter during spraying periods, while during non-spraying periods, near complete removal of the pollutant was achieved. The gaseou…

0106 biological sciencesHealth Toxicology and Mutagenesisbiotrickling filtrationlcsh:MedicineLiquid phase010501 environmental sciences01 natural sciencesArticlelaw.inventionBioreactorslaw010608 biotechnologyvolatile organic compoundsparasitic diseasesmathematical modellingFiltration0105 earth and related environmental sciencesPollutantlcsh:RPublic Health Environmental and Occupational HealthEnvironmental engineeringQuímicaModels TheoreticalCarbon6. Clean waterVolumetric flow rateFilter (aquarium)13. Climate actionEnvironmental scienceair pollution controlFiltrationInternational Journal of Environmental Research and Public Health
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Coupling agent-based with equation-based models to study spatially explicit megapopulation dynamics

2018

International audience; The incorporation of the spatial heterogeneity of real landscapes into population dynamics remains extremely difficult. We propose combining equation-based modelling (EBM) and agent-based modelling (ABM) to overcome the difficulties classically encountered. ABM facilitates the description of entities that act according to specific rules evolving on various scales. However, a large number of entities may lead to computational difficulties (e.g., for populations of small mammals, such as voles, that can exceed millions of individuals). Here, EBM handles age-structured population growth, and ABM represents the spreading of voles on large scales. Simulations applied to t…

0106 biological sciencesHybrid modellingTheoretical computer scienceComputer sciencePopulation[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]010603 evolutionary biology01 natural sciences[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Travelling waveArvicolaPopulation growtheducation[SDV.EE]Life Sciences [q-bio]/Ecology environmenteducation.field_of_studySpatial contextual awareness010604 marine biology & hydrobiologyEcological ModelingDispersal15. Life on land[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationSpatial heterogeneityCoupling (computer programming)[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Biological dispersalMontane ecology[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC][SDE.BE]Environmental Sciences/Biodiversity and EcologyHybrid modelHybrid modelEcological Modelling
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Within-season movements of Alpine songbird distributions are driven by fine-scale environmental characteristics

2020

AbstractInformation about distribution and habitat use of organisms is crucial for conservation. Bird distribution within the breeding season has been usually considered static, but this assumption has been questioned. Within-season movements may allow birds to track changes in habitat quality or to adjust site choice between subsequent breeding attempts. Such movements are especially likely in temperate mountains, given the substantial environmental heterogeneity and changes occurring during bird breeding season. We investigated the within-season movements of breeding songbirds in the European Alps in spring-summer 2018, using repeated point counts and dynamic occupancy models. For all the…

0106 biological sciencesMaleConservation of Natural ResourcesOccupancyBehavioural ecologyPopulationMicroclimatelcsh:Medicine010603 evolutionary biology01 natural sciencesArticle010605 ornithologySongbirdsSeasonal breederTemperate climateAnimalslcsh:ScienceeducationEcosystemEcological modellingeducation.field_of_studyMultidisciplinarybiologyEcologyReproductionlcsh:RVegetationMicroclimateAnimal behaviourbiology.organism_classificationSongbirdGeographyHabitatlcsh:QAnimal MigrationFemaleSeasonsAnimal DistributionScientific Reports
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Predicting marine species distributions: complementarity of food-web and Bayesian hierarchical modelling approaches

2019

16 pages, 9 figures, 3 tables, 1 appendix

0106 biological sciencesMarine conservationSpecies distributionBayesian inference010603 evolutionary biology01 natural sciencesMediterranean SeaSpatial ecology14. Life underwaterCentro Oceanográfico de MurciaPesqueríasSpecies distribution modelsCommercial speciesSpatial planningEcospacebiologyEcology010604 marine biology & hydrobiologyEcological ModelingMerluccius merluccius15. Life on landbiology.organism_classificationEnvironmental niche modellingHabitatFood-web modelBayesian modelSpatial ecologyEnvironmental science
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The challenge of habitat modelling for threatened low density species using heterogeneous data: The case of Cuvier’s beaked whales in the Mediterrane…

2018

We are grateful to the ACCOBAMS Secretariat for their support in this work, including a small grant for the analysis. The Mediterranean population of Cuvieŕs beaked whale (Ziphius cavirostris), a deep-diving cetacean, is genetically distinct from the Atlantic, and subject to a number of conservation threats, in particular underwater noise. It is also cryptic at the surface and relatively rare, so obtain robust knowledge on distribution and abundance presents unique challenges. Here we use multiplatform and multiyear survey data to analyse the distribution and abundance of this species across the Mediterranean Sea. We use a novel approach combining heterogeneous data gathered with different …

0106 biological sciencesMediterranean climateCorrection factor:Cuvier's beaked whalesQH301 BiologyDensity surface modellingPopulationNDASGeneral Decision Sciences[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]ConservationSea stateDistribution010603 evolutionary biology01 natural sciencesMediterranean BasinQH301Beaked whaleMediterranean seaAbundanceAbundance (ecology)SDG 14 - Life Below Water14. Life underwatereducationEcology Evolution Behavior and SystematicsGCeducation.field_of_studyEcologybiology010604 marine biology & hydrobiologybiology.organism_classificationCuvier’s beaked whalesZiphius cavirostrisFisheryOceanographyGeography13. Climate actionMediterranean seaGC OceanographyEcological Indicators
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Predictive distribution models of European hake in the south-central Mediterranean Sea

2017

The effective management and conservation of fishery resources requires knowledge of their spatial distribution and notably of their critical life history stages. Predictive modelling of the European hake (Merluccius merluccius L., 1758) distribution was developed in the south-central Mediterranean Sea by means of historical fisheries-independent databases available in the region. The study area included the international waters of the south-central Mediterranean Sea and the territorial waters of Italy, Malta, Tunisia and Libya. Distribution maps of predicted population abundance index, and probabilistic occurrence of recruits and large adults were obtained by means of generalized additive …

0106 biological sciencesMediterranean climateGeneralized additive modelAquatic ScienceSpatial distribution010603 evolutionary biology01 natural sciencesGeneralized additive modelsSeafloor geophysical featureMediterranean seaHakeSeafloor geophysical featuresMerluccius merlucciusSpecies distribution modelling14. Life underwaterLarge adults habitatSettore MAT/07 - Fisica Matematicabiology010604 marine biology & hydrobiologyGeneralized additive modelMerluccius merlucciusbiology.organism_classificationRecruits habitatEnvironmental niche modellingFisheryStrait of SicilyGeographyMerluccius merlucciuPredictive modelling
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Assessing the spatiotemporal persistence of fish distributions: a case study on two red mullet species (Mullus surmuletus and M. barbatus) in the wes…

2020

Understanding the spatiotemporal persistence of fish distributions is key to defining fish hotspots and effective fisheries-restricted areas (FRAs). Hierarchical Bayesian spatiotemporal models provide an excellent framework to understand these distributions, as they can accommodate different spatiotemporal behaviour in the data, primarily due to their flexibility. The aim of this research was to characterize the fundamental behavioural patterns of fish as persistent, opportunistic or progressive by comparing different spatiotemporal model structures in order to provide better information for marine spatial planning. To illustrate this method, the spatiotemporal distributions of 2 sympatric …

0106 biological sciencesMediterranean climateRed mulletMullus surmuletusSpatiotemporalAquatic Science01 natural sciencesPersistence (computer science)010104 statistics & probabilityFisheries managementSpecies distribution modellingFisheries-restricted areasCentro Oceanográfico de MurciaPesquerías0101 mathematicsEcology Evolution Behavior and SystematicsEcologybiology010604 marine biology & hydrobiologyMarine spatial planningbiology.organism_classificationMarine spatial planningEnvironmental niche modellingFisheryGeographyFish <Actinopterygii>Fisheries management
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Assessing global range expansion in a cryptic species complex: insights from the red seaweed genus Asparagopsis (Florideophyceae)

2017

The mitochondrial genetic diversity, distribution and invasive potential of multiple cryptic operational taxonomic units (OTUs) of the red invasive seaweed Asparagopsis were assessed by studying introduced Mediterranean and Hawaiian populations. Invasive behavior of each Asparagopsis OTU was inferred from phylogeographic reconstructions, past historical demographic dynamics, recent range expansion assessments and future distributional predictions obtained from demographic models. Genealogical networks resolved Asparagopsis gametophytes and tetrasporophytes into four A. taxiformis and one A. armata cryptic OTUs. Falkenbergia isolates of A. taxiformis L3 were recovered for the first time in t…

0106 biological sciencesMediterranean climateSpecies complexfood.ingredientRange (biology)biological invasionsPopulationPlant SciencephylogeographyAquatic ScienceBiologyDNA Mitochondrial010603 evolutionary biology01 natural sciencesHawaiiDNA AlgalMediterranean seafoodEffective population sizeMediterranean SeaAsparagopsiseducationeducation.field_of_studyPlant DispersalEcology010604 marine biology & hydrobiologySequence Analysis DNAspecies distribution modellingSeaweedPhylogeographyPhylogeographymarine algaeRhodophytaIntroduced SpeciesJournal of Phycology
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Bayesian spatio-temporal approach to identifying fish nurseries by validating persistence areas

2015

Spatial and temporal closures of fish nursery areas to fishing have recently been recognized as useful tools for efficient fisheries management, as they preserve the reproductive potential of populations and increase the recruitment of target species. In order to identify and locate potential nursery areas for spatio-temporal closures, a solid understanding of species− environment relationships is needed, as well as spatial identification of fish nurseries through the application of robust analyses. One way to achieve knowledge of fish nurseries is to analyse the persistence of recruitment hotspots. In this study, we propose the comparison of different spatiotemporal model structures to ass…

0106 biological sciencesMediterranean climatehttp://aims.fao.org/aos/agrovoc/c_28840[SDV]Life Sciences [q-bio]01 natural sciencesMediterranean seaAbundance (ecology)Ecosystem approachEcologybiologyEcologyU10 - Informatique mathématiques et statistiquesinteraction élevage environnementmodèle de distributionMerluccius merlucciushttp://aims.fao.org/aos/agrovoc/c_41529zone de pêcheNursery areasSpatio temporal analysisanalyse bayésienneGeographyGestion des pêchesgestion spatialealevinageFisheries managementFishinganalyse spatiotemporellegestion des ressources naturellesAquatic Science010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026étude comparativeHakeMerluccius merluccius14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Distribution patternapproche ecosystémiqueÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologybiology.organism_classificationBiologie marineFisheryThéorie bayésiennehttp://aims.fao.org/aos/agrovoc/c_9000115M40 - Écologie aquatiqueBayesian hierarchical modellingMarine protected areaSpatial fisheries managementNursery areas;Distribution pattern;Ecosystem approach;Spatial fisheries management;Spatio temporal analysis;Bayesian hierarchical modelling;Merluccius merluccius
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