Search results for "Biodiversity and Ecology"

showing 10 items of 738 documents

sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots

2021

Datos disponibles en https://github.com/fmsabatini/sPlotOpen_Code

0106 biological sciencesBiomeBos- en LandschapsecologieBiodiversityDIVERSITYFOREST VEGETATION01 natural sciences//purl.org/becyt/ford/1 [https]http://aims.fao.org/aos/agrovoc/c_915Abundance (ecology)big dataVegetation typePHYTOSOCIOLOGICAL DATABASEparcelleForest and Landscape Ecologyfunctional traitsvascular plantsbig data; biodiversity; biogeography; database; functional traits; macroecology; vascular plants; vegetation plotsbig data ; biodiversity ; biogeography ; database ; functional traits ; macroecology ; vascular plants ; vegetation plotsMacroecologyhttp://aims.fao.org/aos/agrovoc/c_3860databasebiodiversity[SDV.EE]Life Sciences [q-bio]/Ecology environmentGlobal and Planetary ChangeEcologyEcologyhttp://aims.fao.org/aos/agrovoc/c_33949vascular plantVegetationF70 - Taxonomie végétale et phytogéographiePE&RCVegetation plotGeography580: Pflanzen (Botanik)Ecosystems Researchhttp://aims.fao.org/aos/agrovoc/c_25409Diffusion de l'informationmacroecologyPlantenecologie en NatuurbeheerVegetatie Bos- en LandschapsecologieBiodiversitéARCHIVECommunauté végétalehttp://aims.fao.org/aos/agrovoc/c_24420Evolutionhttp://aims.fao.org/aos/agrovoc/c_fdfbb37f[SDE.MCG]Environmental Sciences/Global ChangesBiogéographieGRASSLAND VEGETATIONPlant Ecology and Nature Conservation[SDV.BID]Life Sciences [q-bio]/Biodiversity010603 evolutionary biologyBehavior and SystematicsCouverture végétale577: ÖkologiePLANThttp://aims.fao.org/aos/agrovoc/c_8176//purl.org/becyt/ford/1.6 [https]/dk/atira/pure/core/keywords/biologyfunctional traitBiologyEcology Evolution Behavior and SystematicsVegetatiebiogeographyVegetation010604 marine biology & hydrobiology/dk/atira/pure/core/keywords/559922418Impact sur l'environnementDRY GRASSLANDSPlant community15. Life on landVégétationWETLAND VEGETATIONhttp://aims.fao.org/aos/agrovoc/c_45b5a34avegetation plotsEarth and Environmental SciencesUNIVERSITYPhysical geographyVegetation Forest and Landscape Ecology[SDE.BE]Environmental Sciences/Biodiversity and Ecologydonnées ouverteshttp://aims.fao.org/aos/agrovoc/c_32514Global and Planetary Change
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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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New national and regional bryophyte records, 49

2016

Paper presents couple of new national and regional bryophyte records accross the world, including our new record of Pseudocalliergon lycopodioides in the Carpathians (Czarny Dunajec); the only recent record for the Carpathians.

0106 biological sciencesBryofloraSplachnum ampullaceumEcologyeducationBryology Bryoflora Plant ScienceBryologyPlant Science15. Life on landBiology010603 evolutionary biology01 natural sciencesBryophyte[SDE.BE]Environmental Sciences/Biodiversity and EcologyPseudocalliergonEcology Evolution Behavior and Systematics1183 Plant biology microbiology virology010606 plant biology & botany
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Bush pig (Potamochoerus porcus) seed predation of bush mango (Irvingia gabonensis) and other plant species in Democratic Republic of Congo.

2012

4 pages; International audience

0106 biological sciencesBush pigbush mango010603 evolutionary biology01 natural sciencesBUSH MANGOIrvingia gabonensisfood[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/Symbiosis0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUS[ SDE.BE ] Environmental Sciences/Biodiversity and EcologybiologyAgroforestry05 social sciences15. Life on landPotamochoerusbiology.organism_classificationDemocratic Republic of Congofood.foodGeographyseed predationSeed predationPlant species[SDE.BE]Environmental Sciences/Biodiversity and Ecology[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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New national and regional bryophyte records, 54

2018

Floristic and taxonnomic collaborative studies in Bryology Fil: Ellis, Leonard Thomas. The Natural History Museum, London, Uk; Reino Unido Fil: Muñoz, J.. Real Jardín Botánico de Madrid; España Fil: Suárez, G. M.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina Fil: Flores, Jorge Rafael. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina

0106 biological sciencesCanyongeographygeography.geographical_feature_categoryBryophytesBryology Brtoflora Plant ScienceBryologyPlant Science15. Life on land010603 evolutionary biology01 natural sciencesArchaeologyBrtofloraCiencias BiológicasSystematics[SDE]Environmental SciencesBryophyte[SDE.BE]Environmental Sciences/Biodiversity and EcologyAnomobryumCiencias de las Plantas BotánicaCIENCIAS NATURALES Y EXACTASEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUSTaxonomy010606 plant biology & botany
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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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Large-scale distribution analysis of Antarctic echinoids using ecological niche modelling.

2012

Understanding the factors that determine the distribution of taxa at various spatial scales is a crucial challenge in the context of global climate change. This holds particularly true for polar marine biota that are composed of both highly adapted and vulnerable faunas. We analysed the distribution of 2 Antarctic echinoid species, Sterechinus antarcticus and S. neumayeri, at the scale of the entire Southern Ocean using 2 niche modelling procedures. The performance of distribution models was tested with regard to the known ecology of the species. The respective contributions of environmental parameters are discussed along with the putative roles played by biotic interactions and biogeograph…

0106 biological sciencesContext (language use)Aquatic ScienceHabitat suitability map010603 evolutionary biology01 natural sciences[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsGARPSea ice14. Life underwaterSouthern OceanEcology Evolution Behavior and SystematicsPolar frontEcological nichegeography[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologygeography.geographical_feature_categoryBiotic componentEcologybiologyEcology010604 marine biology & hydrobiologyEchinoidea15. Life on landbiology.organism_classificationSterechinus[ SDV.EE.ECO ] Life Sciences [q-bio]/Ecology environment/EcosystemsSterechinusOceanographyArctic13. Climate actionEchinoidea [Sea urchins]Biological dispersal[SDE.BE]Environmental Sciences/Biodiversity and EcologyMaxent
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Impacts of agricultural intensification on bird communities: New insights from a multi-level and multi-facet approach of biodiversity

2016

International audience; Following the multiplicity of studies dealing with the effects of agricultural intensification on bird diversity, one of the lessons drawn is that these effects depend on both the taxonomic group, the component of diversity, the aspect of intensification, and the spatial scale. This often leads to disparate results among studies suggesting that the investigation of agriculture-biodiversity relationships suffers from scale-dependence, information redundancy, non-linearity problems, and thus, unpredictability.Here, we propose a multi-scale and multi-facet approach to clarify the impacts of agricultural intensification on biodiversity and possible mitigating actions. Ou…

0106 biological sciencesCrop practices010504 meteorology & atmospheric sciencesta1172BiodiversityBeta diversityScalesLand coverGeneralist and specialist speciesFarmland bird diversity010603 evolutionary biology01 natural sciences0105 earth and related environmental sciencesTrophic level2. Zero hungerEcologyAgroforestryEcologybusiness.industryAgricultural intensification15. Life on landGeographyLandscape homogenisationAgricultureSpatial ecologyta1181Biological dispersalAnimal Science and ZoologySpecies traits[SDE.BE]Environmental Sciences/Biodiversity and EcologybusinessAgronomy and Crop Science
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Fine‐grain beta diversity of Palaearctic grassland vegetation

2021

QUESTIONS: Which environmental factors influence fine-grain beta diversity of vegetation and do they vary among taxonomic groups? LOCATION: Palaearctic biogeographic realm. METHODS: We extracted 4,654 nested-plot series with at least four different grain sizes between 0.0001 m² and 1,024 m² from the GrassPlot database, covering a wide range of different grassland and other open habitat types. We derived extensive environmental and structural information for these series. For each series and four taxonomic groups (vascular plants, bryophytes, lichens, all), we calculated the slope parameter (z-value) of the power law species–area relationship (SAR), as a beta diversity measure. We tested whe…

0106 biological sciencesCzechAgriculture and Food SciencesFine grainelevation333.7: Landflächen NaturerholungsgebietehabitatPlant ScienceMaster planFine-grain beta diversity01 natural sciencesScale dependenceevolutionaryRICHNESSvascular plantsHABITATMacroecologyComputingMilieux_MISCELLANEOUSmedia_commonMean occupancyProductivity2. Zero hungerdisturbance0303 health sciencesEcologySettore BIO/02 - Botanica SistematicaEnvironmental researchPalaearctic grasslanddifferentiationenvironmental heterogeneityspecies-area relationship (SAR)gradientDIFFERENTIATION580: Pflanzen (Botanik)disturbance; elevation; fine-grain beta diversity; heterogeneity; land use; macroecology; mean occupancy; Palaearctic grassland; productivity; scale dependence; species–area relationship (SAR); z-valuescale dependencelanguagemacroecologyproductivitymedia_common.quotation_subjectmean occupancyLibrary scienceSpecies–area relationship (SAR)Environmental drivers Grasslands Lichens Mosses Species-area relationship SAR Vascular Plands010603 evolutionary biologySpecies-area curve03 medical and health sciencesspecies–area relationship (SAR)ExcellencePolitical scienceGRADIENTSlovak030304 developmental biologyspatial scalefine-grain beta diversityBiology and Life Sciencesland useDisturbance15. Life on landZ-valuelanguage.human_languageENVIRONMENTAL HETEROGENEITYEarth and Environmental Sciencesz-valueElevationLand useEVOLUTIONARYSPATIAL SCALESPECIES-AREA RELATIONSHIPSVASCULAR PLANTS[SDE.BE]Environmental Sciences/Biodiversity and EcologyheterogeneityHeterogeneityrichness
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Quorum Sensing and Density-Dependent Dispersal in an Aquatic Model System

2012

International audience; Many organisms use cues to decide whether to disperse or not, especially those related to the composition of their environment. Dispersal hence sometimes depends on population density, which can be important for the dynamics and evolution of subdivided populations. But very little is known about the factors that organisms use to inform their dispersal decision. We investigated the cues underlying density-dependent dispersal in interconnected microcosms of the freshwater protozoan Paramecium caudatum. In two experiments, we manipulated (i) the number of cells per microcosm and (ii) the origin of their culture medium (supernatant from high-or low-density populations). …

0106 biological sciencesDYNAMICSAquatic OrganismsParameciumPopulation DynamicsEMIGRATIONlcsh:MedicineMarine and Aquatic Sciences01 natural sciencesPopulation densityBehavioral EcologySpatial and Landscape Ecologylcsh:ScienceOrganismFreshwater Ecology0303 health sciencesMultidisciplinarybiologyEcologyAnimal BehaviorEcologySwarm behaviourQuorum Sensing[SDE]Environmental SciencesMicrocosmResearch ArticleFreshwater EnvironmentsSignal TransductionMetapopulation DynamicsSTRATEGIESMovementMarine Biology010603 evolutionary biologyModels Biological03 medical and health sciencesRATESBiologySOCIAL INFORMATION;EVOLUTION;EMIGRATION;STRATEGIES;DYNAMICS;LIZARD;RATES030304 developmental biologyPopulation Biologylcsh:RSOCIAL INFORMATIONLIZARDbiology.organism_classificationEVOLUTIONQuorum sensingEarth SciencesBiological dispersallcsh:QParamecium caudatumAdaptation[SDE.BE]Environmental Sciences/Biodiversity and EcologyZoologyEcological Environments
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