Search results for " modeling."

showing 10 items of 2251 documents

Ecology, Phylogeny, and Potential Nutritional and Medicinal Value of a Rare White “Maitake” Collected in a Mediterranean Forest

2020

Albino Grifola frondosa (Dicks.) Gray &ldquo

0106 biological sciencesGrifola frondosabioprospectingBiology01 natural sciences03 medical and health sciencesDry weightStaphylococcus epidermidisBotanypolypore fungupolypore fungusMediterranean forestInternal transcribed spacer<i>Grifola frondosa</i>lcsh:QH301-705.5Ribosomal DNAGrifola frondosa030304 developmental biologyNature and Landscape Conservation0303 health sciencesMushroomEcologySettore BIO/02 - Botanica SistematicaEcological Modeling<i>Quercus pubescens</i>ITS rDNAbiology.organism_classificationGrifolaAgricultural and Biological Sciences (miscellaneous)medicinal mushroomfungal diversityphylogeneticslcsh:Biology (General)Quercus pubescensSettore BIO/03 - Botanica Ambientale E ApplicataBasidiocarpphylogenetic010606 plant biology & botanybasidiomyceteDiversity
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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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Inferring individual fate from aquatic acoustic telemetry data

2020

13 pages, 8 figures, 1 table.-- This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

0106 biological sciencesInformation retrievalSurvivalComputer science010604 marine biology & hydrobiologyEcological ModelingFateNatural mortalityPredationDispersalVDP::Matematikk og Naturvitenskap: 400Creative commonsFishing mortality010603 evolutionary biology01 natural sciencesTelemetryTable (database)Acoustic telemetry14. Life underwaterLicenseFish behaviourEcology Evolution Behavior and Systematics
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Identifying small pelagic Mediterranean fish schools from acoustic and environmental data using optimized artificial neural networks

2019

Abstract The Common Fisheries Policy of the European Union aims to exploit fish stocks at a level of Maximum Sustainable Yield by 2020 at the latest. At the Mediterranean level, the General Fisheries Commission for the Mediterranean (GFCM) has highlighted the importance of reversing the observed declining trend of fish stocks. In this complex context, it is important to obtain reliable biomass estimates to support scientifically sound advice for sustainable management of marine resources. This paper presents a machine learning methodology for the classification of pelagic species schools from acoustic and environmental data. In particular, the methodology was tuned for the recognition of an…

0106 biological sciencesMarine conservationMaximum sustainable yieldFish stockFish school010603 evolutionary biology01 natural sciencesAcoustic surveyEnvironmental dataAnchovymedia_common.cataloged_instanceEuropean unionEcology Evolution Behavior and Systematicsmedia_commonEcologybiologySettore INF/01 - Informaticabusiness.industry010604 marine biology & hydrobiologyApplied MathematicsEcological ModelingEnvironmental resource managementPelagic zonebiology.organism_classificationClassificationComputer Science ApplicationsGeographyComputational Theory and MathematicsFishing industryModeling and SimulationbusinessNeural networks
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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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Fungal Diversity in the Mediterranean Area

2020

The Special Issue entitled “Fungal Diversity in the Mediterranean Area” aimed at highlighting the role of various organisms in the Mediterranean habitat. The role of fungi at the root and phyllosphere level; the biodiversity in small island territories and the sea; rare forms of fungi never previously found; the commercial, food, and therapeutic value of some ascomycetes and basidiomycetes; the diversity related to fungi associated with galls on plants; and the important role of culture collection for the ex situ conservation of fungal biodiversity are the topics dealt with in this Special Issue.

0106 biological sciencesMediterranean climateBiodiversitybioprospectingmycorrhizaBiology010603 evolutionary biology01 natural sciencesMediterranean forestlcsh:QH301-705.5Marine fungiNature and Landscape ConservationBioprospectingGenetic diversityEcologyEcology010604 marine biology & hydrobiologyEcological Modelingmarine fungifungiEx situ conservationAgricultural and Biological Sciences (miscellaneous)medicinal mushroomfungal diversityHabitatlcsh:Biology (General)PhyllosphereDiversity
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Effects of environmental and temporal factors on Glomeromycotina spores in sand dunes along the Gulf of Valencia (Spain)

2019

Abstract AMF symbiosis in sand dunes is the key for maintenance of stable vegetation. The main goal of this work was to determine the effects of environmental and temporal factors on AMF living in sand dunes (Gulf of Valencia, Spain). Soil samples were collected seasonally at 6 sites, during 2 yrs, from three habitats and four plant species and the frequency and relative abundance of AMF was examined. AMF were more frequent in mobile than in embryonic dunes, in spring and in sites with old vegetation. Ten AMF species were identified, their distribution depending mainly on the anthropogenic disturbance of the site. Gigasporaceae Cetraspora sp. and Dentiscutata sp. preferred undisturbed soil …

0106 biological sciencesMediterranean climateEcologybiologyEcologyEcological ModelingPlant ScienceVegetationbiology.organism_classification010603 evolutionary biology01 natural sciencesSand dune stabilizationGlomeraceaeHabitatSoil waterRelative species abundanceEcology Evolution Behavior and Systematics010606 plant biology & botanyGigasporaceaeFungal Ecology
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Staying alive on an active volcano: 80 years population dynamics of Cytisus aeolicus (Fabaceae) from Stromboli (Aeolian Islands, Italy)

2020

Abstract Cytisus aeolicus is a narrow endemic species restricted to the Aeolian archipelago (SE Tyrrhenian Sea, Italy) and it is one of the most evolutionarily isolated plants in the Mediterranean flora. Historical and literature data suggest that both metapopulations and isolated individuals of C. aeolicus are gradually shrinking. Field investigations and drone images demonstrate that the C. aeolicus metapopulation from Stromboli experienced a strikingly fast increase during the last decades. As of 2019, more than 7000 ± 3000 mature individuals occur on Stromboli, i.e. 14 to 20 times more than those counted during the last census, 25 years ago. The diachronic analysis of aerial photos conc…

0106 biological sciencesMediterranean climateIUCN risk assessmentPopulationMetapopulationConservation010502 geochemistry & geophysics010603 evolutionary biology01 natural sciencesConservation Endemic species Pollen morphology Germination rate Growth rate IUCN risk assessmentlcsh:QH540-549.5IUCN Red ListEndemismeducation0105 earth and related environmental scienceseducation.field_of_studygeography.geographical_feature_categoryExtinctionGrowth rateEcologyconservation; endemic species; germination rate; growth rate; IUCN risk assessment; pollen morphologyEcologyEcological ModelingStrombolian eruptionGermination ratePollen morphologyGeographyVolcanoSettore BIO/03 - Botanica Ambientale E ApplicataEndemic specieslcsh:Ecology
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Historical and current diversity patterns of mediterranean marine species

2021

In this issue, the biodiversity in the Mediterranean Sea has been described at a synchronic and a diachronic level, highlighting the past two centuries for which museum collections can provide overlooked information. Historical records are preserved for the major marine taxa, knowledge of which would greatly benefit from employing specimens and data collected in the past. All of the articles review the current status of the marine diversity of species belonging to several taxonomic groups (seagrasses, macroalgae, sponges, polychaetes, bivalves, sharks, fishes, mammals) and explore the ecological and conservation implications of some of the most threatened ones.

0106 biological sciencesMediterranean climateSettore BIO/07 - EcologiaEcologyEcology010604 marine biology & hydrobiologyEcological Modelingmedia_common.quotation_subjectSettore BIO/05 - Zoologia010603 evolutionary biology01 natural sciencesAgricultural and Biological Sciences (miscellaneous)Marine speciesCurrent (stream)n/aGeographylcsh:Biology (General)Mediterranean Biodiversity Museumslcsh:QH301-705.5Nature and Landscape ConservationDiversity (politics)media_common
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Cetacean strandings and museum collections: A focus on Sicily island crossroads for mediterranean species

2021

The study examined the extent of the cetacean strandings in Italy, with a particular focus on Sicily Island. The paper aimed to contribute to the description of a pattern that contemplates the “regular and rare” cetacean species passage along the Sicilian coast. The estimate of marine cetacean strandings was extrapolated from the National Strandings Data Bank (BDS—Banca Dati Spiaggiamenti) and evaluated according to a subdivision in three coastal subregions: the Tyrrhenian sub-basin (northern Sicilian coast), the Ionian sub-basin (eastern Sicilian coast), and the Channel of Sicily (southern Sicilian coast). Along the Italian coast, more than 4880 stranding events have been counted in the pe…

0106 biological sciencesMediterranean climatenatural history museumsRare speciesSettore BIO/05 - ZoologiaZoological collectionsStenella coeruleoalbaMarine mammal010603 evolutionary biology01 natural sciencesMediterranean seaSpecies levelbiology.animalcetacean strandingsMediterranean biodiversitymarine mammalslcsh:QH301-705.5Nature and Landscape Conservationgeography.geographical_feature_categoryEcologybiology010604 marine biology & hydrobiologyEcological ModelingNatural history museumAgricultural and Biological Sciences (miscellaneous)language.human_languageCetacean strandingOceanographyGeographylcsh:Biology (General)Period (geology)languageSicilianChannel (geography)
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