Search results for "model."

showing 10 items of 23664 documents

Regional and Supra-Regional Coherence in Limnological Variabler

2009

Limnologists and water resources managers have traditionally perceived lakes as discrete geographical entities. This has resulted in a tendency for scientific lake studies to concentrate on lakes as individuals, with little connection either to each other or to large-scale driving forces. Since the 1990s, however, a shift in the prevailing paradigm has occurred, with lakes increasingly being seen as responding to regional, rather than local, driving forces. The seminal work on regional coherence in lake behaviour was that of Magnuson et al. (1990), who showed that many features of lakes within the same region respond coherently to drivers such as climate forcing and catchment processes. Fro…

0106 biological sciencesgeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesCatchment ModellingEcology010604 marine biology & hydrobiologyClimate ChangeDrainage basinClimate changeCoherence (statistics)Lake ModellingRadiative forcing01 natural sciencesWater resourcesSpatial coherence13. Climate actionNorth Atlantic oscillationBiological propertyddc:570Water QualityPhysical geography0105 earth and related environmental sciences
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Biogeography of arbuscular mycorrhizal fungal spore traits along an aridity gradient, and responses to experimental rainfall manipulation

2020

Abstract Spore size, colour and melanin content are hypothesised to be functional in relation to environmental stress. Here, we studied AM fungal spores in arid environments of Australia and in an experimental platform simulating altered rainfall. We used microscopy and image analysis to measure spore colour and size, and a quantitative colorimetric assay to estimate melanin content in spores. In arid sites, melanin content tended to increase with increasing aridity. We observed a large range of spore colours at all sites but found a higher proportion of both dark and light spores, and fewer intermediate colours, in drier sites. Spore abundance and size varied among sites, but neither were …

0106 biological sciencesgeographygeography.geographical_feature_categoryEcologyEcological ModelingBiogeographyfungiPlant ScienceBiology010603 evolutionary biology01 natural sciencesEnvironmental stressAridhumanitiesGrasslandSporeAbundance (ecology)BotanyLife historyArbuscular mycorrhizalEcology Evolution Behavior and Systematics010606 plant biology & botanyFungal Ecology
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Camouflage accuracy in Sahara–Sahel desert rodents

2020

1. Camouflage helps animals to hide from predators and is therefore key to survival. Although widespread convergence of animal phenotypes to their natural environment is well-established, there is a lack of knowledge about how species compromise camouflage accuracy across different background types in their habitat.2. Here we tested how background matching has responded to top–down selection by avian and mammalian predators using Sahara–Sahel desert rodents in North Africa.3. We show that the fur colouration of several species has become an accurate match to different types of desert habitats. This is supported by a correlation analysis of colour and pattern metrics, investigation of animal…

0106 biological sciencesgerbillinaeRodentiavision modelGeneralist and specialist speciesbackground matching010603 evolutionary biology01 natural sciencesPredationBirds/dk/atira/pure/core/keywords/cognitive_scienceAfrica Northern/dk/atira/pure/core/keywords/visual_perceptionAnimalsDesertPredatorEcology Evolution Behavior and SystematicsEcosystemtop-down selectiondipodinaeEcology010604 marine biology & hydrobiologyDesert (particle physics)TaxonGeographyHabitatCamouflagePredatory BehaviorVisual PerceptionCognitive ScienceAnimal Science and ZoologyAdaptationQCPA
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Plant functional and taxonomic diversity in European grasslands along climatic gradients

2021

Aim European grassland communities are highly diverse, but patterns and drivers of their continental-scale diversity remain elusive. This study analyses taxonomic and functional richness in European grasslands along continental-scale temperature and precipitation gradients. Location Europe. Methods We quantified functional and taxonomic richness of 55,748 vegetation plots. Six plant traits, related to resource acquisition and conservation, were analysed to describe plant community functional composition. Using a null-model approach we derived functional richness effect sizes that indicate higher or lower diversity than expected given the taxonomic richness. We assessed the variation in abso…

0106 biological sciencesgrassland diversity333.7: Landflächen Naturerholungsgebieteenvironmental filtering favourability hypothesis functional richness grassland diversity limiting similarity null model plant trait diversity precipitation gradient seasonality taxonomic richness temperature gradient trait-environment relationshippragmatic approachBiodiversitylimiting similarityEnvironmental filtering; Favourability hypothesis; Functional richness; Grassland diversity; Limiting similarity; Null model; Plant trait diversity; Precipitation gradient; Seasonality; Taxonomic richness; Temperature gradient; Trait‐environment relationshipPlant Scienceprecipitation gradient01 natural sciencesGrasslandtaxonomic richnesstrait-environmentspecies richnessfavourability hypothesisbiodiversity2. Zero hungermechanismsgeography.geographical_feature_categoryEcologyEcologyseasonalitynull modelassembly rulesVegetation580: Pflanzen (Botanik)communityAssembly rulestrait convergence010603 evolutionary biologytemperature gradientLimiting similaritymedicineTrait‐environment relationshipgeographyfunctional richnessAquatic EcologyPlant communityenvironmental filtering15. Life on landSeasonalitymedicine.diseasetrait-environment relationshipEnvironmental scienceSpecies richnessdivergenceEnvironmental Sciencesplant trait diversity010606 plant biology & botany
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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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GeneSys-Beet: A model of the effects of cropping systems on gene flow between sugar beet and weed beet

2008

A weedy form of the genus Beta, i.e. Beta vulgaris ssp. vulgaris (hence ''weed beet'') frequently found in sugar beet is impossible to eliminate with herbicides because of its genetic proximity to the crop. It is presumed to be the progeny of accidental hybrids between sugar beet (ssp. vulgaris) and wild beet (ssp. maritima), or of sugar beet varieties sensitive to vernalization and sown early in years with late cold spells. In this context, genetically modified (GM) sugar beet varieties tolerant to non-selective herbicides would be interesting to manage weed beet. However, because of the proximity of the weed to the crop, it is highly probable that the herbicide-tolerance transgene would b…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_890PopulationSoil ScienceContext (language use)H60 - Mauvaises herbes et désherbageFlux de gènesGenetically modified01 natural sciencesF30 - Génétique et amélioration des planteshttp://aims.fao.org/aos/agrovoc/c_9000024Crophttp://aims.fao.org/aos/agrovoc/c_37331http://aims.fao.org/aos/agrovoc/c_34285[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyhttp://aims.fao.org/aos/agrovoc/c_2018Cropping systemeducation2. Zero hungereducation.field_of_studybiologyU10 - Informatique mathématiques et statistiquesModélisation des culturesfungifood and beverages04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationWeed controlGene flowTillagePratique culturalehttp://aims.fao.org/aos/agrovoc/c_8347AgronomyOrganisme génétiquement modifié040103 agronomy & agriculture0401 agriculture forestry and fisheriesSugar beetBeta vulgarisWeedAgronomy and Crop ScienceMauvaise herbeModelCropping system010606 plant biology & botanyField Crops Research
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Environmental Characteristics and Anthropogenic Impact Jointly Modify Aquatic Macrophyte Species Diversity

2018

Species richness and spatial variation in community composition (i.e. beta diversity) are key measures of biodiversity. They are largely determined by natural factors, but also increasingly affected by anthropogenic factors. Thus, there is a need for a clear understanding of the human impact on species richness and beta diversity, the underlying mechanisms, and whether human-induced changes can override natural patterns. Here, we dissect the patterns of species richness, community composition and beta diversity in relation to different environmental factors as well as human impact in one framework: aquatic macrophytes in 66 boreal lakes in Eastern Finland. The lakes had been classified as h…

0106 biological scienceshuman impactbiodiversity; beta diversity; community composition; eutrophication; human impact; null models species richness; water plantsBeta diversityBiodiversityPlant Sciencelcsh:Plant culture010603 evolutionary biology01 natural scienceslcsh:SB1-1110community compositionOriginal ResearchbiodiversityCommunityEcologyrehevöityminen010604 marine biology & hydrobiologySpecies diversityluonnon monimuotoisuusbiodiversiteettiMacrophytenull models species richnesseutrophicationta1181Environmental sciencebeta diversitySpatial variabilitySpecies richnessWater qualitywater plantsvesikasvitFrontiers in Plant Science
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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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A spatially explicit risk assessment approach: Cetaceans and marine traffic in the Pelagos Sanctuary (Mediterranean Sea).

2017

15 páginas, 5 figuras, 2 tablas.-- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

0106 biological scienceslcsh:MedicineMarine and Aquatic SciencesTransportationStenella coeruleoalba01 natural sciencesMediterranean seaStenellaOceanslcsh:ScienceConservation ScienceMammalsMultidisciplinarybiologyFin WhaleMarine reserveFin WhalesHabitatsBottle-Nosed DolphinGeographyHabitatVertebratesEngineering and TechnologyResearch ArticleConservation of Natural ResourcesDolphinsMarine BiologySede Central IEO010603 evolutionary biologyRisk AssessmentBodies of waterbiology.animalMediterranean SeaAnimals14. Life underwaterMarine MammalsEcosystemShipsModels StatisticalBalaenoptera010604 marine biology & hydrobiologylcsh:REcology and Environmental SciencesOrganismsWhalesBiology and Life SciencesAquatic EnvironmentsPelagic zoneMarine spatial planningBayes Theorembiology.organism_classificationMarine EnvironmentsBoatsFisheryAmniotesEarth Scienceslcsh:QMarine protected area
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