0000000000184166

AUTHOR

John-arvid Grytnes

showing 10 related works from this author

Disjunct populations of European vascular plant species keep the same climatic niches

2015

Aim Previous research on how climatic niches vary across species ranges has focused on a limited number of species, mostly invasive, and has not, to date, been very conclusive. Here we assess the d ...

0106 biological sciencesVascular plantEcological nicheGlobal and Planetary Change010504 meteorology & atmospheric sciencesEcologybiologyEcologyDisjunct distributionNiche segregation15. Life on landDisjunctbiology.organism_classification010603 evolutionary biology01 natural sciencesEnvironmental niche modellingArctic vegetationEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesGlobal biodiversityGlobal Ecology and Biogeography
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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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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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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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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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Global endemics-area relationships of vascular plants

2019

Endemics–Area Relationships (EARs)are fundamental in theoretical and applied biogeography for understanding distribution patterns and promoting biodiversity conservation. However, calculating EARs for vascular plant species from existing data is problematic because of biased knowledge of endemic species distributions and differences between taxonomies. We aimed to overcome these challenges by developing a new standardized global dataset based on expert knowledge to produce a set of global EARs. We developed a nested circle design, with grain sizes of 10 4 , 10 5 , 10 6 , 10 7 , and 10 8 km 2 , respectively, and a global distribution of plots based on a stratified random scheme. The number …

0106 biological sciencesVascular plantZero-endemic plotslcsh:QH1-199.5Range (biology)Biogeographylcsh:General. Including nature conservation geographical distributionManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciencesMinimum and maximum estimatelcsh:QH540-549.5StatisticsEndemismZero-endemic plotNature and Landscape ConservationEstimationbiologyEcology010604 marine biology & hydrobiologySampling (statistics)Minimum and maximum estimatesbiology.organism_classificationGeographyGlobal referenceExpert knowledgelcsh:EcologySpecies richnessScale (map)Distribution of land and sea
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Local temperatures inferred from plant communities suggest strong spatial buffering of climate warming across Northern Europe

2013

Recent studies from mountainous areas of small spatial extent (2500 km(2) ) suggest that fine-grained thermal variability over tens or hundreds of metres exceeds much of the climate warming expected for the coming decades. Such variability in temperature provides buffering to mitigate climate-change impacts. Is this local spatial buffering restricted to topographically complex terrains? To answer this, we here study fine-grained thermal variability across a 2500-km wide latitudinal gradient in Northern Europe encompassing a large array of topographic complexities. We first combined plant community data, Ellenberg temperature indicator values, locally measured temperatures (LmT) and globally…

0106 biological sciences010504 meteorology & atmospheric sciencesClimate ChangeClimate changeMetapopulation010603 evolutionary biology01 natural sciencesEnvironmental ChemistryPlant Physiological Phenomena0105 earth and related environmental sciencesGeneral Environmental ScienceGlobal and Planetary ChangeEcologyGeographyGlobal warmingTemperaturePlant communityBiota15. Life on landModels TheoreticalBiotaSpatial heterogeneityEurope13. Climate actionClimatologySpatial ecologySpatial extent
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