0000000000279426

AUTHOR

Franz Essl

0000-0001-8253-2112

showing 10 related works from this author

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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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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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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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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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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Biological Flora of the British Isles: Ambrosia artemisiifolia

2015

This account presents information on all aspects of the biology of Ambrosia artemisiifolia L. (Common ragweed) that are relevant to understanding its ecology. The main topics are presented within the standard framework of the Biological Flora of the British Isles: distribution, habitat, communities, responses to biotic factors, responses to environment, structure and physiology, phenology, floral and seed characters, herbivores and disease, and history, conservation, impacts and management. Ambrosia artemisiifolia is a monoecious, wind-pollinated, annual herb native to North America whose height varies from 10 cm to 2.5 m, according to environmental conditions. It has erect, branched stems …

[ SDV.BV ] Life Sciences [q-bio]/Vegetal BiologyecophysiologyGrowing seasonPlant Sciencemedicine.disease_causemodellingPollenmedicineTemperate climateRuderal species[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyEcology Evolution Behavior and SystematicsAmbrosia artemisiifoliabiogeographyagricultureHerbivoreEcologybiologyparasites and diseasesPhenologyEcologyreproductive biologygeographical and altitudinal distributionhealth15. Life on landbiology.organism_classificationclimate changegerminationWeed
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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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Alien flora of Europe: Species diversity, temporal trends, geographical patterns and research needs

2008

International audience; The paper provides the first estimate of the composition and structure of alien plants occurring in the wild in the European continent, based on the results of the DAISIE project (2004–2008), funded by the 6th Framework Programme of the European Union and aimed at “creating an inventory of invasive species that threaten European terrestrial, freshwater and marine environments”. The plant section of the DAISIE database is based on national checklists from 48 European countries/regions and Israel; for many of them the data were compiled during the project and for some countries DAISIE collected the first comprehensive checklists of alien species, based on primary data …

[SDE] Environmental SciencesALIEN PLANTSBIOGEOGRAPHICAL PATTERN[SDV]Life Sciences [q-bio]RESIDENCE TIMEDONOR REGIONS[SDV] Life Sciences [q-bio]biogeographical pattern; plant invasions; temporal trends; europe; habitat affinity; alien plants; naturalization; residence time; neophytes; donor regionsTEMPORAL TRENDS[SDE]Environmental SciencesHABITAT AFFINITYeuropeNATURALIZATIONPLANT INVASIONSNEOPHYTES
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The Global Naturalized Alien Flora (GloNAF) database.

2019

This dataset provides the Global Naturalized Alien Flora (GloNAF) database, ver-sion 1.2. Glo NAF represents a data compendium on th e occurrence and identit y of naturalizedalien vascular plant taxa across geographic regions (e.g. countries, states, provinces, districts,islands) around the globe. The dataset includes 13,939 taxa and covers 1,029 regions (including381 islands). The dataset is based on 210 data sources. For each ta x on-b y-region combination, wepr ovide information on whether the tax on is consider ed to be naturalized in the specific region(i.e. has established self-sustaining popula tions in the wild). Non-native taxa are marked as“alien”, when it is not clear whether the…

0106 biological sciencesсосудистые растенияSpecies invasionsAlien plantsShapefileAliencomputer.software_genrePublic domain010603 evolutionary biology01 natural sciencesчужеродные виды растенийнеофитыGloNAF база данныхGlobal distributionглобальное распространениеNaturalized plantsNeophytesvascular plantsTaxonomic rankэкзотические растенияnon-native plantsEcology Evolution Behavior and Systematicsspecies invasionsинвазии видовDatabase010604 marine biology & hydrobiologyVascular plantsneophytesnon-nativeplantscomputer.file_formatglobal distributionCompendiumMetadataNon-native plantsnaturalized plantsTaxonGeographyнатурализованные виды растенийMainlandExotic plantscomputerexotic plantsEcology
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