0000000000124682

AUTHOR

Jürgen Dengler

0000-0003-3221-660x

showing 27 related works from this author

Fine-grain beta diversity in Palaearctic open vegetation: variability within and between biomes and vegetation types

2021

Aims: To quantify how fine-grain (within-plot) beta diversity differs among biomes and vegetation types. Study area: 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 spanning broad geographic and ecological gradients. Next, we calculated the slope parameter (z-value) of the power-law species–area relationship (SAR) to use as a measure of multiplicative beta diversity. We did this separately for vascular plants, bryophytes and lichens and for the three groups combined (complete vegetation). We then tested whether z-values differed between biomes, ecological-physi…

biome bryophyte fine-grain beta diversity GrassPlot lichen mean occupancy Palaearctic grassland phytosociological class species–area relationship (SAR) vascular plant vegetation type z-valueSettore BIO/07 - EcologiaVascular plantGrassPlotPalaearctic grasslandSpecies–area relationship (SAR)LichenVegetation typespecies-area relationship (SAR)Fine-grain beta diversityZ-valuePhytosociological classEnvironmental sciences580: Pflanzen (Botanik)Settore BIO/03 - Botanica Ambientale E ApplicataBiomeBryophyteGE1-350Mean occupancyVegetation Classification and Survey (VCS)
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European Vegetation Archive (EVA): an integrated database of European vegetation plots

2015

Biurrun, Idoia/0000-0002-1454-0433; Rojo, Maria Pilar Rodriguez/0000-0001-5449-9386; Ermakov, Nikolai/0000-0001-7550-990X; De Sanctis, Michele/0000-0002-7280-6199; Svenning, Jens-Christian/0000-0002-3415-0862; Virtanen, Risto/0000-0002-8295-8217; Agrillo, Emiliano/0000-0003-2346-8346; Onyshchenko, Viktor/0000-0001-9079-7241; Marceno, Corrado/0000-0003-4361-5200; Willner, Wolfgang/0000-0003-1591-8386; Fernandez-Gonzalez, Federico/0000-0003-1234-4065; Jansen, Florian/0000-0002-0331-5185; Swacha, Grzegorz/0000-0002-6380-2954; Dengler, Jurgen/0000-0003-3221-660X; Guarino, Riccardo/0000-0003-0106-9416; Sopotlieva, Desislava/0000-0002-9281-7039; Venanzoni, Roberto/0000-0002-7768-0468; Chytry, Mil…

0106 biological sciencesInternational Association for Vegetation ScienceBos- en LandschapsecologieEcoinformatic01 natural sciencesEcoinformaticsForest and Landscape EcologyVegetacióEcologyEcologyEnvironmental resource managementPE&RCVegetation plotEuropeCentralized databaseGeographyCartografia de la vegetacióPlantenecologie en NatuurbeheerVegetatie Bos- en Landschapsecologiemedicine.symptomGeographic coordinate systemEuropaRelevePlant Ecology and Nature ConservationEuropean Vegetation SurveyManagement Monitoring Policy and LawBiodiversity informatics010603 evolutionary biologyPlot (graphics)Biodiversity informaticsRelevéDatabaseEcoinformaticsPhytosociological dataBiodiversity informatics; Database; Ecoinformatics; European Vegetation Survey; International Association for Vegetation Science; Phytosociological data; Relevé; Vegetation database; Vegetation plotmedicinebiodiversity informatics; database; ecoinformatics; european vegetation survey; international association for vegetation science; phytosociological data; relevé; vegetation database; vegetation plot; ecology; nature and landscape conservation; management; monitoring; policy and lawVegetatieNature and Landscape ConservationVegetation mappingVegetationbusiness.industry15. Life on landDefensieTaxonVegetation databaseBiodiversity informaticIntegrated databaseVegetation Forest and Landscape EcologybusinessVegetation (pathology)010606 plant biology & botany
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Distance decay 2.0 – a global synthesis of taxonomic and functional turnover in ecological communities

2021

AbstractUnderstanding the variation in community composition and species abundances, i.e., β-diversity, is at the heart of community ecology. A common approach to examine β-diversity is to evaluate directional turnover in community composition by measuring the decay in the similarity among pairs of communities along spatial or environmental distances. We provide the first global synthesis of taxonomic and functional distance decay along spatial and environmental distance by analysing 149 datasets comprising different types of organisms and environments. We modelled an exponential distance decay for each dataset using generalized linear models and extracted r2 and slope to analyse the streng…

0106 biological sciencesGeneralized linear modelDistance decayCommunity010604 marine biology & hydrobiology15. Life on land010603 evolutionary biology01 natural sciencesLatitudeExponential functionSimilarity (network science)Environmental scienceMarine ecosystem14. Life underwaterPhysical geographySpatial extent
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Benchmarking plant diversity of Palaearctic grasslands and other open habitats

2021

© 2021 The Authors.

Vascular plantSURROGATE333.7: Landflächen NaturerholungsgebieteBiomeLichenopen habitatPlant ScienceDATABASESBenchmarkGrasslandScale dependencebenchmarkRICHNESS HOTSPOTSVegetation typeTaxonomic rankSCALEMacroecologyComputingMilieux_MISCELLANEOUS2. Zero hungerbryophyteGLOBAL PATTERNSgeography.geographical_feature_categoryEcologyEcologyOpen habitatvascular plantForestryichenVegetationGrasslandVegetation plotPalaearctic580: Pflanzen (Botanik)GeographyHabitatscale dependencebenchmark; bryophyte; fine-grain biodiversity; grassland; GrassPlot Diversity Explorer; lichen; open habitat; Palaearctic; scale dependence; species–area relationship; vascular plant; vegetation plotLife Sciences & Biomedicinevegetation plotGrassPlot Diversity ExplorerCONSERVATIONEnvironmental Sciences & EcologylichenFine-grain biodiversitybenchmarkbenchmark bryophyte fine-grain biodiversity grassland GrassPlot Diversity Explorer lichen open habitat Palaearctic scale dependence species–area relationship vascular plant vegetation plotspecies-area relationship580benchmark bryophyte fine-grain biodiversity grassland GrassPlot Diversity Explorer lichen open habitat Palaearctic scale dependence species-area relationship vascular plant vegetation plotSpecies–area relationshipScience & Technologyfine-grain biodiversityPlant SciencesBiology and Life Sciences15. Life on landplant diversity13. Climate actionBryophyteSPECIES-AREA RELATIONSHIPSVASCULAR PLANTSBIODIVERSITYSpecies richness[SDE.BE]Environmental Sciences/Biodiversity and EcologygrasslandBRYOPHYTES
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Distribution maps of vegetation alliances in Europe

2022

Aim The first comprehensive checklist of European phytosociological alliances, orders and classes (EuroVegChecklist) was published by Mucina et al. (2016, Applied Vegetation Science, 19 (Suppl. 1), 3-264). However, this checklist did not contain detailed information on the distribution of individual vegetation types. Here we provide the first maps of all alliances in Europe. Location Europe, Greenland, Canary Islands, Madeira, Azores, Cyprus and the Caucasus countries. Methods We collected data on the occurrence of phytosociological alliances in European countries and regions from literature and vegetation-plot databases. We interpreted and complemented these data using the expert knowledge…

VegetationEcologyalliancesyntaxonphytosociologyBos- en LandschapsecologiePlant Ecology and Nature ConservationManagement Monitoring Policy and LawPE&RCEuropeEuroVegChecklist580: Pflanzen (Botanik)classificationvegetation surveyvegetation typemapSettore BIO/03 - Botanica Ambientale E ApplicatadistributionPlantenecologie en NatuurbeheerVegetatie Bos- en LandschapsecologieForest and Landscape EcologyVegetation Forest and Landscape EcologyVegetatieAlliance Distribution Europe EuroVegChecklist Map Phytosociology Syntaxon Vegetation survey Vegetation typeNature and Landscape Conservation
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Scale dependence of species–area relationships is widespread but generally weak in Palaearctic grasslands

2021

Questions: Species–area relationships (SARs) are fundamental for understanding biodiversity patterns and are generally well described by a power law with a constant exponent z. However, z-values sometimes vary across spatial scales. We asked whether there is a general scale dependence of z-values at fine spatial grains and which potential drivers influence it. Location: Palaearctic biogeographic realm. Methods: We used 6,696 nested-plot series of vascular plants, bryophytes and lichens from the GrassPlot database with two or more grain sizes, ranging from 0.0001 m² to 1,024 m² and covering diverse open habitats. The plots were recorded with two widespread sampling approaches (rooted presenc…

0106 biological sciencesBeta diversityGLM generalized linear model grasslands SAR species area relationship333.7: Landflächen NaturerholungsgebieteGrassPlotBeta diversityPlant Science010603 evolutionary biology01 natural sciencesSpecies-area curveGrasslandPower lawScale dependencevegetationComputingMilieux_MISCELLANEOUSspecies–area relationshipRooted presenceSpecies–area relationshipgeographygeography.geographical_feature_categoryVegetationpower lawEcologyEcologyShoot presenceVegetation15. Life on landZ-valueGrasslandrooted presencePalaearctic580: Pflanzen (Botanik)scale dependencez-valueSettore BIO/03 - Botanica Ambientale E Applicatabeta diversity[SDE.BE]Environmental Sciences/Biodiversity and EcologygrasslandHeterogeneityScale (map)shoot presence010606 plant biology & botany
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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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Biodiversity surveys of grassland and coastal habitats in 2021 as a documentation of pre-war status in southern Ukraine

2023

This paper presents two sampling-event datasets with occurrences of vascular plants, bryophytes and lichens collected in May-June 2021 in southern Ukraine. We aimed to collect high-quality biodiversity data in an understudied region and contribute it to international databases and networks. The study was carried out during the 15th Eurasian Dry Grassland Group (EDGG) Field Workshop in southern Ukraine and the Dark Diversity Network (DarkDivNet) sampling in the Kamianska Sich National Nature Park. By chance, these datasets were collected shortly before the major escalation of the Russian invasion in Ukraine. Surveyed areas in Kherson and Mykolaiv Regions, including established monitoring plo…

floraEcologybryophytesoccurrence dataSettore BIO/03 - Botanica Ambientale E Applicatasampling-event datavascular plantsdry grasslandslichenssteppeEcology Evolution Behavior and Systematics
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GrassPlot v. 2.00 : first update on the database of multi-scale plant diversity in Palaearctic grasslands

2019

Abstract: GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). Following a previous Long Database Report (Dengler et al. 2018, Phyto- coenologia 48, 331–347), we provide here the first update on content and functionality of GrassPlot. The current version (GrassPlot v. 2.00) contains a total of 190,673 plots of different grain sizes across 28,171 independent plots, with 4,654 nested-plot series including at least four grain sizes. The database has improved its content as well as its functionality, including addition and harmonization of header data (land use,…

GrassPlotBiodiversitycomputer.software_genreGrasslandVegetation-plot database577: ÖkologieMacroecologybiodiversityvegetation- plot databasegeography.geographical_feature_categoryCommunityDatabaseLand usegrassland vegetationPalaearctic grasslandspecies-area relationship (SAR)nested plotPalaearcticGeographyscale dependenceSettore BIO/03 - Botanica Ambientale E ApplicatamacroecologyNestednessGlobal Index of Vegetation-Plot Databases (GIVD)Alpha diversityScale (map)computercommunity ecologyEurasian Dry Grassland Group (EDGG)
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Database Dry Grasslands in the Nordic and Baltic Region

2012

The Database Dry Grasslands in the Nordic and Baltic Region (GIVD ID EU-00-002) is an initiative of the respective regional subgroup of the European Dry Grassland Group (EDGG). Its aim is to compile the available published and unpublished vegetation-plot data of dry grasslands and related syntaxa (mainly vegetation classes Koelerio-Corynephoretea, Festuco-Brometea, and Trifolio-Geranietea) from the study region (Denmark, Norway, Sweden, Finland, NW Russia, Belarus, Estonia, Latvia, Lithuania, N Poland, and NE Germany). The only requirement for inclusion is that the plot size is between 1 and 100 m2. The database is managed under Sort 4.0, but shall be transferred to TURBOVEG soon. Presently…

Geographygeography.geographical_feature_categoryDatabaseGeneral Earth and Planetary SciencesVegetationLichencomputer.software_genrecomputerGrasslandGeneral Environmental ScienceBiodiversity & Ecology
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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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Database Species-Area Relationships in Palaearctic Grasslands

2012

The Database Species-Area Relationships in Palaearctic Grasslands (GIVD ID EU-00-003) is an initiative of the European Dry Grassland Group (EDGG) and primarily functions as repository for all data sampled during the EDGG Research Expeditions. During these expeditions two types of highly standardised sampling of dry grassland vegetation in the Palaearctic realm are carried out: (i) nested-plot sampling on squares of 0.0001, 0.001, 0.01, 0.1, 1, 10, and 100 m2; (ii) additional normal releves of 10-m2 plots. For all plot sizes, the terricolous vascular plants, bryophytes, and lichens are recorded that are superficially present (shoot presence). Additionally, for all 10-m2 plots species cover i…

soil data.Mediterranean climateRange (biology)Koelerio-Corynephoretealichencomputer.software_genreGrasslandEuropean Dry Grassland Group (EDGG)Lichendry grasslandbiodiversityGeneral Environmental Sciencebryophytegeographygeography.geographical_feature_categoryDatabaseLand useSampling (statistics)VegetationMediterranean grasslandTaxonscale dependenceSettore BIO/03 - Botanica Ambientale E ApplicataFestuco-BrometeaGeneral Earth and Planetary Sciencescomputer
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Ecological Indicator Values for Europe (EIVE) 1.0

2023

Aims: To develop a consistent ecological indicator value system for Europe for five of the main plant niche dimensions: soil moisture (M), soil nitrogen (N), soil reaction (R), light (L) and temperature (T). Study area: Europe (and closely adjacent regions). Methods: We identified 31 indicator value systems for vascular plants in Europe that contained assessments on at least one of the five aforementioned niche dimensions. We rescaled the indicator values of each dimension to a continuous scale, in which 0 represents the minimum and 10 the maximum value present in Europe. Taxon names were harmonised to the Euro+Med Plantbase. For each of the five dimensions, we calculated European values fo…

Vascular plantNiche widthLightNitrogenPlant SciencenitrogenmoistureNiche position577: ÖkologieEcology Evolution Behavior and SystematicsMoistureEllenberg indicator valueEcological indicator valuepHvascular plantTemperaturetemperaturebioindication ; ecological indicator value ; Ellenberg indicator value ; Europe ; light ; moisture ; niche position ; niche width ; nitrogen ; pH ; temperature ; vascular plantAgricultural and Biological Sciences (miscellaneous)bioindicationecological indicator valueBioindicationEurope580: Pflanzen (Botanik)niche widthlightniche position
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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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Distance decay 2.0. A global synthesis of taxonomic and functional turnover in ecological communities

2022

Caio Graco-Roza was funded by the Coordination for the Improvement of Higher Education Personnel (CAPES), the Carlos Chagas Filho Research Support Foundation (FAPERJ) and the Ella and Georg Erhnrooth Foundation; Jan Altman by research grants INTER-EXCELLENCE LTAUSA19137 provided by Czech Ministry of Education, Youth and Sports, 20-05840Y of the Czech Science Foundation, and long-term research development project no. RVO 67985939 of the Czech Academy of Sciences; Otso Ovaskainen was funded by Academy of Finland (grant no. 309581), Jane and Aatos Erkko Foundation, Research Council of Norway through its Centres of Excellence Funding Scheme (223257), and the European Research Council (ERC) unde…

environmental gradientASSEMBLY PROCESSESlatitudinal gradient333.7: Landflächen NaturerholungsgebieteTraitaccessβ-diversityDRIVERSQuantitative Biology::Populations and Evolutionspatial distancebeta-diversity biogeography environmental gradient spatial distance traitSCALE DEPENDENCYCentro Oceanográfico de GijónbiodiversityGlobal and Planetary ChangeEcologytraitdriverseliöyhteisötekologiaENVIRONMENTAL-CONDITIONSBiogeographySIMILARITY1181 Ecology evolutionary biologySpatial distance1171 Geosciencesbeta-diversityβ-diversity; biogeography; environmental gradient; spatial distance; traitscale dependencyβ- diversitybeta-diversity patternsβ‐diversityeliömaantiede4111 Agronomyβ-diversity biogeography environmental gradient spatial distance traitspecies traitsbeta-diversity; biogeography; environmental gradient; spatial distance; traitdistributionenvironmental-conditionsEnvironmental gradientassembly processesMedio Marinosimilarity1172 Environmental sciencesEcology Evolution Behavior and SystematicsbiogeographybiodiversiteettiLATITUDINAL GRADIENTbiogeography; environmental gradient; spatial distance; trait; β-diversityresponsesBIODIVERSITYHigh Energy Physics::ExperimentBETA-DIVERSITY PATTERNSSPECIES TRAITSRESPONSES
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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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Species–area relationships in continuous vegetation: Evidence from Palaearctic grasslands

2019

Aim Species-area relationships (SARs) are fundamental scaling laws in ecology although their shape is still disputed. At larger areas, power laws best represent SARs. Yet, it remains unclear whether SARs follow other shapes at finer spatial grains in continuous vegetation. We asked which function describes SARs best at small grains and explored how sampling methodology or the environment influence SAR shape. Location Palaearctic grasslands and other non-forested habitats. Taxa Vascular plants, bryophytes and lichens. Methods We used the GrassPlot database, containing standardized vegetation-plot data from vascular plants, bryophytes and lichens spanning a wide range of grassland types throu…

curvesshapesspecies– area relationship (SAR)Michaelis–Menten functionBiomeGrasslandVegetation typelogarithmic functionTaxonomic rankLichenNested‐plot Samplinggeography.geographical_feature_categorypower lawEcologyVDP::Landbruks- og Fiskerifag: 900biologyEcologySettore BIO/02 - Botanica SistematicaPalaearctic grasslandspecies-area relationship (SAR)Grasslandddc:nonlinear regressionscale dependenceMichaelis–Menten Functionlogarithmic function; Michaelis–Menten function; minimal area; nested-plot sampling; nonlinear regression; Palaearctic grassland; plant biodiversity; power law; scaling law; species–area relationship (SAR)environmentnested‐plot sampling570Evolutionscaling lawSpecies-area relationshipminimal areadiversityspecies–area relationship (SAR)Behavior and Systematicsspecies- area relationship (SAR)ddc:570577: Ökologienested-plot samplingEcology Evolution Behavior and Systematics580geographymodelfungiBiology and Life Sciences500Species diversityPlant communitySpecies–area Relationship (SAR)Earth and Environmental SciencesMichaelis-Menten functionplant biodiversitySpecies richnessrichness
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Scale- and taxon-dependent patterns of plant diversity in steppes of Khakassia, South Siberia (Russia)

2016

The drivers of plant richness at fine spatial scales in steppe ecosystems are still not sufficiently understood. Our main research questions were: (i) How rich in plant species are the natural steppes of Southern Siberia compared to natural and semi-natural grasslands in other regions of the Palaearctic? (ii) What are the main environmental drivers of the diversity patterns in these steppes? (iii) What are the diversity-environment relationships and do they vary between spatial scales and among different taxonomic groups? We sampled the steppe vegetation (vascular plants, bryophytes and lichens) in Khakassia (Russia) with 39 nested-plot series (0.0001-100-m(2) plot size) and 54 additional 1…

0106 biological sciencesVascular plantSpecies richneBiodiversity; Bryophyte; Environmental factor; Lichen; Species richness; Species–area relationship; Ecology Evolution Behavior and Systematics; Ecology; Nature and Landscape ConservationIMPACTRange (biology)SteppeSPECIES-AREA RELATIONSHIPBiodiversitySEMINATURAL GRASSLANDSLichen010603 evolutionary biology01 natural sciencesRICHNESSEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUSNature and Landscape ConservationSpecies–area relationshipgeographygeography.geographical_feature_categoryPRODUCTIVITYLANDSCAPEEcologybiologyEcologyDRY GRASSLANDSSpecies diversityBiodiversityVegetationEAST-CENTRAL-EUROPE15. Life on landbiology.organism_classificationEcology Evolution Behavior and SystematicEnvironmental factorCLIMATETaxonBryophyteVEGETATION-ENVIRONMENT RELATIONSHIPSSpecies richness[SDE.BE]Environmental Sciences/Biodiversity and EcologySpecies richness010606 plant biology & botany
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Dimensions of invasiveness: Links between local abundance, geographic range size, and habitat breadth in Europe's alien and native floras.

2021

Understanding drivers of success for alien species can inform on potential future invasions. Recent conceptual advances highlight that species may achieve invasiveness via performance along at least three distinct dimensions: 1) local abundance, 2) geographic range size, and 3) habitat breadth in naturalized distributions. Associations among these dimensions and the factors that determine success in each have yet to be assessed at large geographic scales. Here, we combine data from over one million vegetation plots covering the extent of Europe and its habitat diversity with databases on species' distributions, traits, and historical origins to provide a comprehensive assessment of invasive…

0106 biological sciencesFloraenemy release[SDE.MCG]Environmental Sciences/Global Changesmedia_common.quotation_subjectEnemy releaseinvasion successforms of raritydistribution–abundance relationshipenemy releaseleaf economic spectrumPlant Ecology and Nature Conservation[SDV.BID]Life Sciences [q-bio]/BiodiversityAlienLeaf economic spectrumdistribution–abundance relationshipinvasion success forms of rarity distribution–abundance relationship enemy release leaf economic spectrum010603 evolutionary biology01 natural sciencesAbundance (ecology)ddc:570invasion success forms of rarity distribution-abundance relationship enemy release leaf economic spectrumforms of rarityForms of rarityInvasion successAlien speciesEcosystemmedia_common[SDV.EE]Life Sciences [q-bio]/Ecology environmentMultidisciplinaryleaf economic spectrumEcologydistribution-abundance relationship; enemy release; forms of rarity; invasion success; leaf economic spectrum010604 marine biology & hydrobiologyVegetation15. Life on landPlantsBiological SciencesDistribution-abundance relationshipDefensieEuropePhylogeography580: Pflanzen (Botanik)GeographyHabitatdistribution-abundance relationshipinvasion successPlantenecologie en Natuurbeheer[SDE.BE]Environmental Sciences/Biodiversity and EcologyIntroduced SpeciesDistribution–Abundance relationshipDiversity (politics)Proceedings of the National Academy of Sciences of the United States of America
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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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Scale-dependent patterns and drivers of vascular plant, bryophyte and lichen diversity in dry grasslands of the Swiss inneralpine valleys

2022

AbstractThe inner-alpine dry valleys of the Swiss Alps are characterized by subcontinental climate, leading to many peculiarities in dry grassland species composition. Despite their well-known uniqueness, comprehensive studies on biodiversity patterns of the dry grasslands in these valleys were still missing. To close this gap, we sampled 161 10-m2 vegetation plots in the Rhône, Rhine and Inn valleys, recording vascular plants, terricolous bryophyte and lichen species, as well as environmental data. Additionally, we tested the scale-dependence of environmental drivers using 34 nested-plot series with seven grain sizes (0.0001–100 m2). We analysed the effects of environmental drivers related…

Scale dependenceVascular plant580: Pflanzen (Botanik)Settore BIO/03 - Botanica Ambientale E ApplicataBryophyte333.7: Landflächen NaturerholungsgebieteBiodiversity Bryophyte Dry grassland Lichen Scale dependence Vascular plantLichenPlant ScienceBiodiversityDry grasslandEcology Evolution Behavior and Systematics
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Plot - A new tool for global vegetation analyses

2019

23Biodiversity Conservation Department, ISPRA – Italian National Institute for Environmental Protection and Research, Rome, Italy

0106 biological sciencesGender and DiversityBos- en LandschapsecologieBiomeэкология сообществPlant Scienceэкоинформатика[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomy01 natural sciencesAbundance (ecology)EcoinformaticsForest and Landscape EcologyMacroecologyResearch methodology and philosophyрастительностьbiodiversityEcologyvascular plantPlot база данныхVegetation[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/BotanicsPE&RCfunctional diversityGeography580: Pflanzen (Botanik)Ecosystems Researchvegetation relevémacroecologyPlantenecologie en Natuurbeheerphylogenetic diversityVegetatie Bos- en Landschapsecologievegetation relevebiodiversity ; community ecology ; ecoinformatics ; functional diversity ; global scale ; macroecology ; phylogenetic diversity ; plot database ; staxonomic ; diversity ; vascular plant ; vegetation relevé/dk/atira/pure/core/keywords/nachhaltigkeitswissenschaftContext (language use)Plant Ecology and Nature Conservationecoinformatic010603 evolutionary biologySustainability Scienceecoinformatics[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsEcoinformaticsbiodiversity; community ecology; ecoinformatics; functional diversity; global scale; macroecology; phylogenetic diversity; plot database; sPlot; taxonomic diversity; vascular plant; vegetation relevé577: Ökologieplot database/dk/atira/pure/core/keywords/biologyVegetatieVegetationsPlotPlant communityMacroecology Phylogenetic diversitybiodiversity; community ecology; ecoinformatics; functional diversity; global scale; macroecology; phylogenetic diversity; plot database; sPlot; taxonomic diversity; vascular plant; vegetation releve15. Life on landтаксономическое разнообразиеtaxonomic diversityglobal scaleбиоразнообразиеCrop husbandrySpecies richnessPhysical geographyVegetation Forest and Landscape Ecology[SDE.BE]Environmental Sciences/Biodiversity and Ecology/dk/atira/pure/core/keywords/gender_and diversityфилогенетическое разнообразиемакроэкологияcommunity ecology010606 plant biology & botany
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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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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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Grasslands of Northern Europe and the Baltic States

2020

This chapter deals with the grasslands of Northern Europe (Denmark, Faroe Islands, Finland, Iceland, Norway, Sweden) and the Baltic States (Estonia, Latvia, Lithuania), with a focus on natural and semi-natural grasslands of the lowlands, thus treating arctic-alpine and strongly intensified types only marginally. At present, grasslands cover ca. 7% of the study region, half of which are natural grasslands (mostly arctic-alpine, to a smaller extent also azonal and extra-zonal) and the other half secondary grasslands created by human land use (livestock grazing or haymaking). Both grassland categories have high importance for biodiversity in many taxa. However, particularly the secondary grass…

2. Zero hunger0106 biological sciencesgeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesEcologyNorthern Europe15. Life on landGrassland010603 evolutionary biology01 natural sciencesGrassland4111 Agronomy1181 Ecology evolutionary biology577: Ökologie0105 earth and related environmental sciences
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Xeric grasslands of the inner-alpine dry valleys of Austria - new insights into syntaxonomy, diversity and ecology

2021

We are grateful to the IAVS for financial support for some of the participants. We would like to give special thanks to Dr. Ernst Partl, director of the Naturpark Kaunergrat for authorizing sampling in the protected areas and for helping with the organization of the field workshop.

EcologyVegetation classificationmedia_common.quotation_subjectEcology (disciplines)resurveyStipo-Festucetalia pallentisBiodiversityFestucetalia valesiacaesemi-natural grasslandBrachypodietalia pinnatiDeserts and xeric shrublandsAustria biodiversity Brachypodietalia pinnati Festucetalia valesiacae Festuco-Brometea inner-alpine dry valley semi-natural grassland soil parameter resurvey Stipo-Festucetalia pallentis syntaxonomy vegetation classificationEnvironmental sciencesGeographyAustriaFestuco-Brometeasoil parameterGE1-350syntaxonomy577: Ökologieinner-alpine dry valleyvegetation classificationDiversity (politics)media_commonbiodiversity
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EuroSL – a European taxonomic backbone for vegetation databases and other taxon- related databases: version 1.0

2016

Background: A taxonomic reference list is an indispensable tool to sample, manage and match biodiversity data from different sources. Merging vegetation databases or combining them with taxon-related attributes needs reliable and consistent information about the taxon concepts used and an appropriate naming. Aim: Creating a “taxonomic backbone” of European vascular plants and bryophytes with links to widespread taxonomic references. Methods: We used the Euro+Med plant list (Euro+Med 2006ff), version 2015/04. For all families not yet covered there we used taxa from Flora Europaea (Tutin et al. 1980ff). Additionally we included the aggregates from the Ehrendorfer (1973) list. For bryophytes w…

Nomenclature Taxonomy Europe Standard list
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