Search results for "Distribution model"

showing 10 items of 63 documents

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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Does trait-based joint species distribution modelling reveal the signature of competition in stream macroinvertebrate communities?

2021

1. The occupancy and abundance of species are jointly driven by local factors, such as environmental characteristics and biotic interactions, and regional‐scale factors, such as dispersal and climate. Recently, it has been shown that biotic interactions shape species occupancies and abundances beyond local extents. However, for small ectothermic animals, particularly for those occurring in freshwater environments, the importance of biotic interactions remains understudied. Species‐to‐species associations from joint species distribution models (i.e. species associations while controlling for environmental characteristics) are increasingly used to draw hypotheses of which species possibly sho…

0106 biological sciencesMetacommunitymedia_common.quotation_subjectSpecies distributionpurotfunctional feeding guildsBiology010603 evolutionary biology01 natural sciencesCompetition (biology)Riversjoint species distribution modelsAbundance (ecology)substrate attachment modedistributionAnimalsdispersalEcosystemFinlandEcology Evolution Behavior and Systematicsmedia_commonEcology010604 marine biology & hydrobiologyinterspecific competitionvesiekosysteemitlevinneisyysInterspecific competitioneliöyhteisöt15. Life on landselkärangattomatstreamsInvertebratesEnvironmental niche modellingPhenotypeHabitat1181 Ecology evolutionary biologyBiological dispersalAnimal Science and Zoologybody sizeleviäminen
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Current and future suitability of wintering grounds for a long-distance migratory raptor

2017

Conservation of migratory species faces the challenge of understanding the ecological requirements of individuals living in two geographically separated regions. In some cases, the entire population of widely distributed species congregates at relatively small wintering areas and hence, these areas become a priority for the species’ conservation. Satellite telemetry allows fine tracking of animal movements and distribution in those less known, often remote areas. Through integrating satellite and GPS data from five separated populations comprising most of the breeding range, we created a wide habitat suitability model for the Eleonora’s falcon on its wintering grounds in Madagascar. On this…

0106 biological sciencesRange (biology)SciencePopulationClimate changeDistribution (economics)Suitability010603 evolutionary biology01 natural sciencesArticleFalco eleonoraesatellite telemetryddc:570Zoologiawintering groundsMadagascarAnimalsEcosystemZoología14. Life underwatereducationEcosystemEntire populationeducation.field_of_studyMultidisciplinaryGeographyRaptorsEcologybusiness.industryspecies distribution model010604 marine biology & hydrobiologyQRLong-distance15. Life on landBiodiversitatCurrent (stream)GeographyHabitatMigratory raptorMedicineWintering groundsAnimal MigrationSeasonsbusiness
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Climate and socio-economic factors explain differences between observed and expected naturalization patterns of European plants around the world

2021

Pouteau, R., et al.

0106 biological sciencesRange (biology)Species distributionalien species010603 evolutionary biology01 natural sciencesInvasive speciesантропогенная нагрузкасистематическая ошибка выборкиAntrophogenic pressureddc:570introduction pathwayчужеродные виды577: Ökologiefunctional traitэкологический факторalien species anthropogenic pressure environmental driver functional trait global change introduction pathway naturalization ornamental plant sampling bias species distribution modelEcology Evolution Behavior and Systematicsglobal changeдекоративные растения[SDV.EE]Life Sciences [q-bio]/Ecology environmentGlobal and Planetary ChangeEcologyEcologyenvironmental driverspecies distribution model010604 marine biology & hydrobiologyornamental plantalien species ; anthropogenic pressure ; environmental driver ; functional trait ; global change ; introduction pathway ; naturalization ; ornamental plant ; sampling bias ; species distribution modelSpecies distribution modelGlobal change15. Life on landклиматические факторыanthropogenic pressuresampling biasnaturalizationTaxonGeography580: Pflanzen (Botanik)HabitatDisturbance (ecology)модели распространения видов[SDE]Environmental Sciencesфункциональные признакинатурализацияSpecies richness
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Testing macroecological abundance patterns:the relationship between local abundance and range size, range position and climatic suitability among Eur…

2020

Aim A fundamental question in macroecology centres around understanding the relationship between species' local abundance and their distribution in geographical and climatic space (i.e. the multi-dimensional climatic space or climatic niche). Here, we tested three macroecological hypotheses that link local abundance to the following range properties: (a) the abundance-range size relationship, (b) the abundance-range centre relationship and (c) the abundance-suitability relationship. Location Europe. Taxon Vascular plants. Methods Distribution range maps were extracted from the Chorological Database Halle to derive information on the range and niche sizes of 517 European vascular plant speci…

0106 biological sciencescommonness and rarityClimatic suitabilityRange (biology)[SDE.MCG]Environmental Sciences/Global ChangesCommonness and raritydistributionsRange size[SDV.BID]Life Sciences [q-bio]/Biodiversityshape010603 evolutionary biology01 natural sciencesVegetation-plot dataRealized climatic nichemodelsAbundanceniche breadthAbundance (ecology)577: ÖkologiePlant ecologyspecies distribution modelsEcology Evolution Behavior and Systematicsclimatic suitabilityrange size[SDV.EE]Life Sciences [q-bio]/Ecology environmentClimatology2. Zero hungerabundanceEcologyrealized climatic nicheEcologyEcologia vegetal010604 marine biology & hydrobiologyconservationresolutionSpecies distribution modeldynamics15. Life on landvegetation-plot data580: Pflanzen (Botanik)GeographyClimatologiacommunity[SDE.BE]Environmental Sciences/Biodiversity and EcologyResolutionVegetation‐plot data
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Fishery-dependent and -independent data lead to consistent estimations of essential habitats

2016

AbstractSpecies mapping is an essential tool for conservation programmes as it provides clear pictures of the distribution of marine resources. However, in fishery ecology, the amount of objective scientific information is limited and data may not always be directly comparable. Information about the distribution of marine species can be derived from two main sources: fishery-independent data (scientific surveys at sea) and fishery-dependent data (collection and sampling by observers in commercial vessels). The aim of this paper is to compare whether these two different sources produce similar, complementary, or different results. We compare them in the specific context of identifying the Es…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Biodiversité et Ecologiehabitatmodélisation spatialehttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_38127Scyliorhinus caniculamodèle hiérarchiqueSpatial statisticsEcologymodèle de distributionSampling (statistics)Contrast (statistics)Cross-validationModélisation et simulationGeographyHabitatGestion des pêchesModeling and Simulationhttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117survey designMarine conservationSpecies Distribution ModelsEcology (disciplines)Bayesian probabilityEtmopterus spinaxenquête statistiqueDonnée sur les pêchesmodèle spatiotemporelSede Central IEOContext (language use)Aquatic ScienceDistribution des populationsBayesian hierarchical models010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026elasmobranchsBiodiversity and Ecologyélasmobrancheétude comparativeBayesian hierarchical models;Cross-validation;Species Distribution Models;Spatial statistics;INLA;elasmobranchs ; survey designINLA14. Life underwaterspecies distribution modelsEcology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_6113collecte des donnéesÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_29788http://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologyGestion et conservation des pêchescross validation[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationmodèle bayésienFisheryM01 - Pêche et aquaculture - Considérations généraleshttp://aims.fao.org/aos/agrovoc/c_2a75d27eThéorie bayésienneM40 - Écologie aquatiqueSpatial ecologyhttp://aims.fao.org/aos/agrovoc/c_2942[SDE.BE]Environmental Sciences/Biodiversity and Ecologyvalidation croiséeElasmobranchii
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Modelling sensitive elasmobranchs habitat

2013

Basic information on the distribution and habitat preferences of ecologically important species is essential for their management and protection. In the Mediterranean Sea there is increasing concern over elasmobranch species because their biological (ecological) characteristics make them highly vulnerable to fishing pressure. Their removal could affect the structure and function of marine ecosystems, inducing changes in trophic interactions at the community level due to the selective elimination of predators or prey species, competitors and species replacement. In this study Bayesian hierarchical spatial models are used to map the sensitive habitats of the three most caught elasmobranch spe…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Etmopterus spinaxhabitatAquatic ScienceDistribution des populationshttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus010603 evolutionary biology01 natural sciencesElasmobranch habitatPredationMediterranean seahttp://aims.fao.org/aos/agrovoc/c_38127http://aims.fao.org/aos/agrovoc/c_3041Scyliorhinus caniculaMediterranean SeaVulnerable speciesMarine ecosystem14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Trophic levelhttp://aims.fao.org/aos/agrovoc/c_6113biologyEcologyU10 - Informatique mathématiques et statistiques010604 marine biology & hydrobiologyScyliorhinus caniculabiology.organism_classificationBiologie marinetechnique de prévisionBayesian hierarchical spatial modelSpecies distribution modelingFisheryHabitatThéorie bayésienneGaleus melastomusM40 - Écologie aquatiquehttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117Elasmobranchii
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Species co-occurrence networks of ground beetles in managed grasslands

2020

AbstractGrassland biodiversity, including traditional rural biotopes maintained by traditional agricultural practices, has become threatened worldwide. Road verges have been suggested to be complementary or compensatory habitats for species inhabiting grasslands. Species co-occurrence patterns linked with species traits can be used to separate between the different mechanisms (stochasticity, environmental filtering, biotic interactions) behind community structure. Here, we study species co-occurrence networks and underlying mechanisms of ground beetle species (Carabidae) in three different managed grassland types (meadows, pastures, road verges, n = 12 in each type) in Central Finland. We a…

0106 biological scienceslaitumetesiintyvyysBiodiversitytienpientareetkedotnurmet010603 evolutionary biology01 natural sciencesGrasslandGround beetlejoint species distribution modelsspecies traitsmaakiitäjäisetEcology Evolution Behavior and Systematicsbiodiversitygeography.geographical_feature_categoryEcologybiologyEcology010604 marine biology & hydrobiologyCommunity structureenvironmental filteringeliöyhteisötbiology.organism_classificationbiodiversiteettiGeographyHabitatAnimal ecologyThreatened speciesSpecies richnessCarabidae
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