Search results for " distribution."

showing 10 items of 4588 documents

Fuzzy quantification of common and rare species in ecological communities (FuzzyQ)

2021

International audience; Most species in ecological communities are rare, whereas only a few are common. This distributional paradox has intrigued ecologists for decades but the interpretation of species abundance distributions remains elusive.We present Fuzzy Quantification of Common and Rare Species in Ecological Communities (FuzzyQ) as an R package. FuzzyQ shifts the focus from the prevailing species-categorization approach to develop a quantitative framework that seeks to place each species along a rarity-commonness gradient. Given a community surveyed over a number of sites, quadrats, or any other convenient sampling unit, FuzzyQ uses a fuzzy clustering algorithm that estimates a probab…

0106 biological sciencesAssembly rulesFuzzy clustering[SDV]Life Sciences [q-bio]Rare species010603 evolutionary biology01 natural sciencesFuzzy logic03 medical and health sciencesEnvironmental monitoringrarityEcology Evolution Behavior and Systematics030304 developmental biologyenvironmental monitoring0303 health sciencesCommunitybusiness.industryEcological ModelingEnvironmental resource managementassembly rulescommonness15. Life on landGeographyfuzzy clustering[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusinessabundance–occupancy distributionscommunity ecology
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Traits mediate niches and co‐occurrences of forest beetles in ways that differ among bioclimatic regions

2021

Aim The aim of this study was to investigate the role of traits in beetle community assembly and test for consistency in these effects among several bioclimatic regions. We asked (1) whether traits predicted species’ responses to environmental gradients (i.e. their niches), (2) whether these same traits could predict co-occurrence patterns and (3) how consistent were niches and the role of traits among study regions. Location Boreal forests in Norway and Finland, temperate forests in Germany. Taxon Wood-living (saproxylic) beetles. Methods We compiled capture records of 468 wood-living beetle species from the three regions, along with nine morphological and ecological species traits. Eight …

0106 biological sciencesBayesian joint species distribution models (JSDMs)Species distributionMODELSDead woodClimate changeUNCERTAINTYphylogeny010603 evolutionary biology01 natural sciencesPhylogeneticsSPECIES DISTRIBUTIONDISTRIBUTIONSsaproxylic beetlesenvironmental gradientsEcology Evolution Behavior and SystematicsEcological nichekovakuoriaisetSAPROXYLIC BEETLESfylogeniaEcologyEcology010604 marine biology & hydrobiologybayesilainen menetelmäBIOTIC INTERACTIONSBayesian joint species distribution models (JSDMs); climate change; Coleoptera; ecological traits; environmental gradients; HMSC; morphological traits; phylogeny; saproxylic beetles; species associations15. Life on landilmastonmuutoksetecological traitsspecies associationsHMSCekologinen lokeroColeopteraGeographyclimate changeFUNCTIONAL TRAITS1181 Ecology evolutionary biologymorphological traitsPATTERNSDEAD-WOODympäristönmuutoksetRESPONSES
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The Bias of combining variables on fish's aggressive behavior studies.

2019

Made available in DSpace on 2019-10-06T16:27:42Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-07-01 Quantifying animal aggressive behavior by behavioral units, either displays or attacks, is a common practice in animal behavior studies. However, this practice can generate a bias in data analysis, especially when the variables have different temporal patterns. This study aims to use Bayesian Hierarchical Linear Models (B-HLMs) to analyze the feasibility of pooling the aggressive behavior variables of four cichlids species. Additionally, this paper discusses the feasibility of combining variables by examining the usage of different sample sizes and family distributions to aggressive …

0106 biological sciencesBayesian probabilityPosterior probabilityBayesian analysisPoisson distribution010603 evolutionary biology01 natural sciencesBehavioral Neurosciencesymbols.namesakeBiasPrior probabilityStatisticsAnimals0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyPterophyllum scalareMathematicsProbabilitybiologyBehavior Animal05 social sciencesMultilevel modelBayes TheoremGeneral MedicineCichlidsbiology.organism_classificationAggressive behaviourMarkov ChainsAggressionVariable (computer science)Sample size determinationData Interpretation StatisticalsymbolsAnimal Science and ZoologyPooled dataMonte Carlo MethodBehavioural processes
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Seasonality of spatial patterns of abundance, biomass and biodiversity in a demersal community of the NW Mediterranean Sea

2020

14 pages, 5 figures, 4 tables

0106 biological sciencesBiodiversityBayesian analysisSede Central IEOAquatic ScienceOceanography010603 evolutionary biology01 natural sciencesDemersal zoneMediterranean seaAbundance (ecology)medicineMediterranean SeaPesqueríasspecies distribution modelsEcology Evolution Behavior and SystematicsBiomass (ecology)TemperaturesEcologyEcology010604 marine biology & hydrobiologyseasonal patternsspatial ecologytemperatureSeasonalitymedicine.diseaseGeographySpatial ecology
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Springtails (Collembola) in meadows, pastures and road verges in Central Finland

2017

Understanding of species distribution, abundance and habitat affinities is crucial for red-list assessment, conservation and habitat management. In Central Finland, we studied Collembola in three habitat types, namely non-grazedmeadows, pastures and road verges using pitfall traps. Altogether, 9,630 Collembola individuals were recorded. These belonged to 12 families, 34 genera and 60 species. The number of specimens was clearly higher in meadows than in pastures or road verges. The number of species, however, was higher in meadows and road verges (40 and 39 species, respectively) than in pastures (33 species). The overall species number is comparable to other large-scale sampling schemes in…

0106 biological sciencesBiotopefood.ingredientbiologyEcologySpecies distributionBiodiversitybiology.organism_classification01 natural sciencesSminthurus010602 entomologyhyppyhäntäisetGeographyfoodHabitatAbundance (ecology)Insect ScienceSminthurus viridisCentral FinlandArtikkelitGlobal biodiversityEntomologica Fennica
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Broad-front migration leads to strong migratory connectivity in the lesser kestrel (Falco naumanni)

2019

Aim: Migratory animals regularly move between often distant breeding and non‐breeding ranges. Knowledge about how these ranges are linked by movements of individuals from different populations is crucial for unravelling temporal variability in population spatial structuring and for identifying environmental drivers of population dynamics acting at different spatio‐temporal scales. We performed a large‐scale individual‐based migration tracking study of an Afro‐Palaearctic migratory raptor, to determine the patterns of migratory connectivity of European breeding populations. Location: Europe, Africa. Methods: Migration data were recorded using different devices (geolocators, satellite transmi…

0106 biological sciencesBird migrationSpatial structureGPSSettore BIO/05 - ZoologiaKestrel010603 evolutionary biology01 natural sciencesNon‐breeding distribution03 medical and health sciencesSahelEuropean commissionZoologíaEcology Evolution Behavior and Systematics030304 developmental biologybird migration geolocators GPS non‐breeding distribution Sahel satellite telemetry spatial structure0303 health sciencesEcologybiologySatellite telemetrySpatial structureFalco naumannibiology.organism_classificationGeographySatellite telemetryChristian ministryGeolocatorsHumanities
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EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats

2020

Aim The EUNIS Habitat Classification is a widely used reference framework for European habitat types (habitats), but it lacks formal definitions of individual habitats that would enable their unequivocal identification. Our goal was to develop a tool for assigning vegetation-plot records to the habitats of the EUNIS system, use it to classify a European vegetation-plot database, and compile statistically-derived characteristic species combinations and distribution maps for these habitats. Location Europe. Methods We developed the classification expert system EUNIS-ESy, which contains definitions of individual EUNIS habitats based on their species composition and geographic location. Each ha…

0106 biological sciencesBos- en Landschapsecologiecoastal habitat ; diagnostic species ; distribution map ; dune vegetation European Nature Information System (EUNIS) ; European Vegetation Archive (EVA) ; expert system ; forest ; grassland ; habitat classification ; man-made habitat ; shrubland ; vegetation database ; vegetation plot ; wetlandBiodiversityDistribution (economics)Wetlandcomputer.software_genre01 natural sciencesGrasslandforestman-made habitatForest and Landscape EcologyPlant ecologybiodiversitygeography.geographical_feature_categoryEcologyVegetationPE&RCwetlandEuropeGeographyHabitathabitat classificationVegetatie Bos- en LandschapsecologieEuropaEuropean Nature Information System (EUNIS)Cartographydune vegetationvegetation plotHabitat (Ecology)databasescoastal habitat; diagnostic species; distribution map; dune vegetation; European Nature Information System (EUNIS); European Vegetation Archive (EVA); expert system; forest; grassland; habitat classification; man-made habitat; shrubland; vegetation database; vegetation plot; wetlandHàbitat (Ecologia)Management Monitoring Policy and Law010603 evolutionary biologyShrublanddistribution mapvegetationinvasionsvegetation database14. Life underwatercoastal habitat577: ÖkologieVegetatieNature and Landscape Conservationexpert systemforestsVegetationbusiness.industryEcologia vegetalwetland formalized classificationalien plants15. Life on landExpert systemfidelitydiagnostic speciesexampleVegetation Forest and Landscape Ecologygrassland[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusinessman‐made habitatshrublandcomputer010606 plant biology & botanyEuropean Vegetation Archive (EVA)
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Canopy status modulates formation of wood rays in scots pine under hemiboreal conditions

2021

Abstract Non-structural carbohydrates (NSC) reserves are crucial for trees to cope with weather extremes, thus to ensure their survival and ecological plasticity. The NSC reserves can depend on social status, suggesting uneven plasticity of trees at the stand level. In stemwood of Scots pine (Pinus sylvestris L.), which is a widespread and important species, NSC reserves are stored in parenchyma in wood rays (WR). The quantity of WRs is adjusted intra-annually, allowing retrospective analysis of factors affecting their formation. Accordingly, the differences in WR quantity in stemwood of dominant and intermediate (canopy trees with reduced and narrow crowns) maturing Scots pine were assesse…

0106 biological sciencesCanopy010504 meteorology & atmospheric sciencesEcologybiologyHemiborealSpecies distributionScots pineCumulative effectsPlant Sciencebiology.organism_classification01 natural sciencesPinus <genus>AgronomyRetrospective analysis010606 plant biology & botany0105 earth and related environmental sciencesDendrochronologia
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Assessing sampling coverage of species distribution in biodiversity databases

2019

Abstract Aim Biodiversity databases are valuable resources for understanding plant species distributions and dynamics, but they may insufficiently represent the actual geographic distribution and climatic niches of species. Here we propose and test a method to assess sampling coverage of species distribution in biodiversity databases in geographic and climatic space. Location Europe. Methods Using a test selection of 808,794 vegetation plots from the European Vegetation Archive (EVA), we assessed the sampling coverage of 564 European vascular plant species across both their geographic ranges and realized climatic niches. Range maps from the Chorological Database Halle (CDH) were used as bac…

0106 biological sciencesChorological Database Halle (CDH)Range (biology)multi-scale[SDE.MCG]Environmental Sciences/Global Changesvegetation-plot databasesSpecies distributionPlant Science[SDV.BID]Life Sciences [q-bio]/Biodiversitycomputer.software_genre010603 evolutionary biology01 natural sciencesmacro-ecology333: Bodenwirtschaft und Ressourcen577: ÖkologieRealized niche widthMacroecologyEcological niche[SDV.EE]Life Sciences [q-bio]/Ecology environmentspatial scaleEcologyDatabaseNull modelvegetation plot databasesclimatic nichevascular plantSampling (statistics)species rangeVegetation15. Life on landDynamic Match Coefficient (DMC)sampling biasGeographyrealized niche1181 Ecology evolutionary biologymacroecology[SDE.BE]Environmental Sciences/Biodiversity and Ecologycomputer010606 plant biology & botanyEuropean Vegetation Archive (EVA)
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Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change

2021

Species interactions are known to structure ecological communities. Still, the influence of climate change on biodiversity has primarily been evaluated by correlating individual species distributions with local climatic descriptors, then extrapolating into future climate scenarios. We ask whether predictions on arctic arthropod response to climate change can be improved by accounting for species interactions. For this, we use a 14-year-long, weekly time series from Greenland, resolved to the species level by mitogenome mapping. During the study period, temperature increased by 2 degrees C and arthropod species richness halved. We show that with abiotic variables alone, we are essentially un…

0106 biological sciencesClimate ResearchArthropodaBiodiversityClimate changeAccounting010603 evolutionary biology01 natural sciencesArcticniveljalkaisetTrophic cascade1172 Environmental sciencesEcology Evolution Behavior and SystematicsTrophic levelAbiotic componentarktinen alueEcologyfood webEcologybusiness.industry010604 marine biology & hydrobiologyeliöyhteisötilmastonmuutokset15. Life on landFood webjoint species distribution modelbiodiversiteettitrophic cascadeclimate changeGeographyArctic13. Climate actioncommunity assemblySpecies richnessbusinessravintoverkotEcography
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