Search results for "species distribution"

showing 10 items of 132 documents

The interplay of nested biotic interactions and the abiotic environment regulates populations of a hypersymbiont.

2018

1.The role of biotic interactions in shaping the distribution and abundance of species should be particularly pronounced in symbionts. Indeed, symbionts have a dual niche composed of traits of their individual hosts and the abiotic environment external to the host, and often combine active dispersal at finer scales with host‐ mediated dispersal at broader scales. The biotic complexity in the determinants of species distribution and abundance should be even more pronounced for hypersymbionts (symbionts of other symbionts). 2.We use a chain of symbiosis to explore the relative influence of nested biotic interactions and the abiotic environment on occupancy and abundance of a hypersymbiont. 3.…

0106 biological sciencesAbiotic componentEcologyHost (biology)010604 marine biology & hydrobiologySpecies distributionNicheAstacoideaBiologyCrayfish010603 evolutionary biology01 natural sciencesAbundance (ecology)Biological dispersalAnimalsAnimal Science and ZoologyEpibiontSymbiosisEcology Evolution Behavior and SystematicsThe Journal of animal ecologyREFERENCES
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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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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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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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Accounting for preferential sampling in species distribution models

2019

D. C., A. L. Q. and F. M. would like to thank the Ministerio de Educación y Ciencia (Spain) for financial support (jointly financed by the European Regional Development Fund) via Research Grants MTM2013‐42323‐P and MTM2016‐77501‐P, and ACOMP/2015/202 from Generalitat Valenciana (Spain). Species distribution models (SDMs) are now being widely used in ecology for management and conservation purposes across terrestrial, freshwater, and marine realms. The increasing interest in SDMs has drawn the attention of ecologists to spatial models and, in particular, to geostatistical models, which are used to associate observations of species occurrence or abundance with environmental covariates in a fi…

0106 biological sciencesComputer scienceQH301 BiologySpecies distributionPoint processesStochastic partial differential equation01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_6774EspèceAbundance (ecology)StatisticsPesqueríasQAOriginal Researchhttp://aims.fao.org/aos/agrovoc/c_241990303 health sciencesEcologyU10 - Informatique mathématiques et statistiquesSampling (statistics)Integrated nested Laplace approximationstochastic partial differential equationVariable (computer science)symbolsÉchantillonnageSpecies Distribution Models (SDMs)Modèle mathématiqueBayesian probabilityNDASDistribution des populations010603 evolutionary biologyQH30103 medical and health sciencessymbols.namesakeCovariateQA MathematicsSDG 14 - Life Below WaterCentro Oceanográfico de Murciaspecies distribution modelsRelative species abundanceEcology Evolution Behavior and Systematicspoint processes030304 developmental biologyNature and Landscape Conservationhttp://aims.fao.org/aos/agrovoc/c_6113http://aims.fao.org/aos/agrovoc/c_7280Markov chain Monte Carlointegrated nested Laplace approximationU30 - Méthodes de rechercheBayesian modelling
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Long-term changes in the breeding period diet of Bonelli

2019

Context Dietary analyses are essential to achieve a better understanding of animal ecology. In the case of endangered species, assessing dietary requirements is crucial to improve their management and conservation. The Bonelli’s eagle (Aquila fasciata) has experienced a severe decline throughout its breeding range in Europe and, in Italy, fewer than 50 pairs remain, and only in Sicily. This species is subject to major threats, including changes in landscape composition and, consequently, prey availability, which is further aggravated by the occurrence of viral diseases in the case of rabbits. Aims To provide current data on the diet of the Bonelli’s eagle in Sicily during the breeding peri…

0106 biological sciencesEagleeducation.field_of_studybiologyEcologyPopulationSpecies distributionEndangered speciesManagement Monitoring Policy and Lawbiology.organism_classification010603 evolutionary biology01 natural sciencesPredation010601 ecologyBonelli's eagleAnimal ecologybiology.animalCamera trapeducationEcology Evolution Behavior and SystematicsWildlife Research
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2018

Marine life of the Southern Ocean has been facing environmental changes and the direct impact of human activities during the past decades. Benthic communities have particularly been affected by such changes although we only slowly understand the effect of environmental changes on species physiology, biogeography, and distribution. Species distribution models (SDM) can help explore species geographic responses to main environmental changes. In this work, we modeled the distribution of four echinoid species with contrasting ecological niches. Models developed for [2005-2012] were projected to different time periods, and the magnitude of distribution range shifts was assessed for recent-past c…

0106 biological sciencesEcological nicheEcologyRange (biology)Ecology010604 marine biology & hydrobiologyBiogeographySpecies distributionMarine life15. Life on land010603 evolutionary biology01 natural sciencesGeographyBenthic zoneLocal extinction14. Life underwaterEndemismEcology Evolution Behavior and SystematicsNature and Landscape ConservationEcology and Evolution
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