Search results for "333.7"

showing 10 items of 17 documents

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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Pore scale modelling of calcite cement dissolution in a reservoir sandstone matrix

2019

E3S Web of Conferences 98, 05010 (1-5) (2019). doi:10.1051/e3sconf/20199805010

Calcitelcsh:GE1-350Finite volume methodThermodynamic equilibrium333.7MineralogySolverTortuositychemistry.chemical_compoundPermeability (earth sciences)chemistryddc:333.7PorosityPorous mediumlcsh:Environmental sciences
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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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Time and heat for sexual reproduction: comparing the phenology of Chara hispida of two populations at different latitudes

2017

Abstract Geographical location affects the main ecological factors driving the timing of plants’ life events. In addition, studying phenology is the simplest procedure to track current global warming and its effects on the success and survival of different populations of the same species. Little is known about the effect of water temperature and its corresponding accumulated heat on charophytes’ phenology. We compared differences in water temperature and sexual reproductive phenology of Chara hispida in two ponds of two countries located at different latitudes (Spain and Switzerland) over the same year. We estimated the accumulated heat required to develop from one phenophase to another (un…

ddc:333.7-333.90106 biological scienceseducation.field_of_studyRange (biology)EcologyPhenology010604 marine biology & hydrobiologyPopulationGlobal warmingTemperaturePlant ScienceGrowing degree-dayAquatic ScienceBiology010603 evolutionary biology01 natural sciencesCharophytesGeographical factors Hopkins' Bioclimatic LawGrowing Degree DaysLatitudeSexual reproductionddc:550Mean radiant temperatureeducationAquatic Botany
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A European Multi Lake Survey dataset of environmental variables, phytoplankton pigments and cyanotoxins

2018

Under ongoing climate change and increasing anthropogenic activity, which continuously challenge ecosystem resilience, an in-depth understanding of ecological processes is urgently needed. Lakes, as providers of numerous ecosystem services, face multiple stressors that threaten their functioning. Harmful cyanobacterial blooms are a persistent problem resulting from nutrient pollution and climate-change induced stressors, like poor transparency, increased water temperature and enhanced stratification. Consistency in data collection and analysis methods is necessary to achieve fully comparable datasets and for statistical validity, avoiding issues linked to disparate data sources. The Europea…

Ecologia dels llacsData DescriptorWater resourcesAquatic Ecology and Water Quality Managementthermocline010504 meteorology & atmospheric sciencesvesien tilaphytoplankton pigments010501 environmental sciences01 natural sciencesEcosystem servicesympäristön tilaBU Contaminants & ToxinsEnvironmental monitoringLimnologylakesddc:550Canvi climàticGeosciences MultidisciplinarySurveyComputingMilieux_MISCELLANEOUSddc:333.7-333.9Climate-ChangeEurope LakesEnvironmental resource management[Belirlenecek]Climate-change ecologyplanktonEutrophication6. Clean waterComputer Science ApplicationsEuropeDisparate systemdatainternationalBloomStatistics Probability and UncertaintyEuropaEnvironmental MonitoringInformation Systemsenvironmental variablesStatistics and ProbabilityBiological pigmentsFitoplànctonClimate ChangeCyanotoxinsta1172BU Contaminanten & ToxinesClimate changeobservation designLibrary and Information SciencesCyanobacteriajärvetEducationEuropean Multi Lakecyanotoxinsddc:570Life ScienceEcosystem14. Life underwaterdatabase creation objectivesyanobakteerit0105 earth and related environmental sciencesWIMEKbusiness.industrydata analysis objectivenutrientmuuttujatPigments Biological15. Life on landClimatic changesdataset ; environmental variables ; phytoplankton ; pigments ; cyanotoxinsmikrolevätAquatische Ecologie en WaterkwaliteitsbeheerEnvironmental variablesPhytoplankton pigmentsMultidisciplinär geovetenskapClimatic changeWater resourcesLakes13. Climate actionNutrient pollutionPhytoplanktonEnvironmental science[SDE.BE]Environmental Sciences/Biodiversity and EcologybusinessEutrophicationLake ecologyCanvis climàticsWatersScientific Data
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Recent advances in paleoflood hydrology: From new archives to data compilation and analysis

2018

8 pags, 4 figs

010506 paleontologyHistory010504 meteorology & atmospheric sciencesFlood frequency analysismedia_common.quotation_subjectFluvialManagement Monitoring Policy and LawOceanography01 natural sciencesNatural (archaeology)ScarcityHydrology (agriculture)ddc:550ChallengesWaste Management and Disposal0105 earth and related environmental sciencesWater Science and Technologymedia_commonHydrologyddc:333.7-333.9Paleoflood hydrologyFlood mythField historyAdvances13. Climate actionFlood hazardData compilationFlood hazardNatural archives
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The influence of decision-making in tree ring-based climate reconstructions.

2021

Tree-ring chronologies underpin the majority of annually-resolved reconstructions of Common Era climate. However, they are derived using different datasets and techniques, the ramifications of which have hitherto been little explored. Here, we report the results of a double-blind experiment that yielded 15 Northern Hemisphere summer temperature reconstructions from a common network of regional tree-ring width datasets. Taken together as an ensemble, the Common Era reconstruction mean correlates with instrumental temperatures from 1794–2016 CE at 0.79 (p < 0.001), reveals summer cooling in the years following large volcanic eruptions, and exhibits strong warming since the 1980s. Differing in…

/141/704/106/694010506 paleontology010504 meteorology & atmospheric sciencesScienceGeneral Physics and AstronomyClimate changePalaeoclimate01 natural sciencesArticleGeneral Biochemistry Genetics and Molecular BiologyPaleoclimatologySDG 13 - Climate ActionDendrochronologyddc:550Climate change[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment0105 earth and related environmental sciencesResearch dataddc:333.7-333.913 Climate ActionClimate change; Palaeoclimate; Research dataGEMultidisciplinaryQNorthern HemisphereDASGeneral ChemistryResearch data/706/648/697Geography13. Climate actionClimatology/704/106/413GE Environmental Sciences
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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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Large-scale, millennial-length temperature reconstructions from tree-rings

2018

Supported by the German Science Foundation, grants # Inst 247/665-1 FUGG and ES 161/9-1. SSG acknowledges support by the Alexander von Humboldt Foundation, KJA by US National Science Foundation grants AGS-1501856 and NSF AGS-1501834, and JL and LS by the Belmont Forum and JPI-Climate, Collaborative Research Action INTEGRATE. Over the past two decades, the dendroclimate community has produced various annually resolved, warm season temperature reconstructions for the extratropical Northern Hemisphere. Here we compare these tree-ring based reconstructions back to 831 CE and present a set of basic metrics to provide guidance for non-specialists on their interpretation and use. We specifically d…

010506 paleontology010504 meteorology & atmospheric sciencesNDASPlant ScienceWarm season01 natural sciencesG1Extratropical cycloneddc:550Little ice ageBeneficial effectsWarm season temperatures0105 earth and related environmental sciencesNorthern Hemisphereddc:333.7-333.9EcologyNorthern HemisphereG Geography (General)Medieval Warm PeriodCovarianceTree-ring widthMaximum latewood densityTree (data structure)ClimatologyLittle Ice AgeScale (map)Geology
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