Search results for "Sampling"

showing 10 items of 788 documents

Aerial strategies advance volcanic gas measurements at inaccessible, strongly degassing volcanoes

2020

Aerial measurements using unoccupied aerial systems (UAS) transform our ability to measure and monitor volcanic plumes.

010504 meteorology & atmospheric sciencessub-053705 Geology010502 geochemistry & geophysicsAtmospheric sciences01 natural sciencesMantle (geology)Carbon cycleVolcanic GasesFlux (metallurgy)eventResearch Articles0105 earth and related environmental sciencesevent.disaster_typegeographyMultidisciplinarygeography.geographical_feature_categorySciAdv r-articlesSampling (statistics)Sediment37 Earth Sciences3703 GeochemistryPlumeApplied Sciences and EngineeringVolcanoPhysical SciencesManam volcanic gases UASResearch ArticleScience Advances
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Rethinking the perishable: Identifying organic remains in metal objects at the Iron Age site of La Bastida de les Alcusses (Moixent, Spain)

2019

Abstract The use of certain perishable materials for handicraft, such as wood, has been underestimated in archaeological investigation due to their poor preservation. Its study through indirect evidence (other non-perishable materials, ethnographic sources) is partial, and does not account for the real importance of wood in domestic, craft and ritual contexts in past societies. In this review we reclaim the use of wood as a co-constitutive material of objects by focusing on Iron Age tools, weapons and carpentry elements from a case-study in the Western Mediterranean. We also suggest the adoption of protocols for sampling and analysing the remains of wood adhered to metal objects, which may …

010506 paleontologyArcheologyCarpentry060102 archaeologySampling (statistics)06 humanities and the artsRaw material01 natural sciencesArchaeologyIndirect evidenceCraftGeographyHandicraftIron Age0601 history and archaeology0105 earth and related environmental sciencesJournal of Archaeological Science: Reports
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Toros-Menalla (Chad, 7 Ma), the earliest hominin-bearing area: how many mammal paleocommunities?

2014

12 pages; International audience; The fossiliferous area of Toros-Menalla (TM) (Djurab Desert, northern Chad) has yielded one of the richest African mammal faunas of the late Miocene. It is also the place where the earliest known hominin, Sahelanthropus tchadensis, was found. Although more than 300 localities are recorded in that area, previous paleoecological studies focused only on the largest and richest one. The integration of the material from other TM localities, and thus of a significant number of mammal taxa, is crucial to improve the corresponding paleoenvironmental reconstructions. Before such inferences can be drawn, it is necessary to test for the ecological integrity of these m…

0106 biological sciences010506 paleontologyTaphonomyEcological diversityChad[SDV.BID]Life Sciences [q-bio]/BiodiversityBiologyLate MioceneEnvironment010603 evolutionary biology01 natural sciencesPaleontologyAnimalsEcosystem diversityTaxonomic rankSamplingEcology Evolution Behavior and Systematics[ SDU.STU.PG ] Sciences of the Universe [physics]/Earth Sciences/Paleontology0105 earth and related environmental sciences[ SDV.BID ] Life Sciences [q-bio]/BiodiversityMammalsHomininaeEcologyFossilsHominidae15. Life on landbiology.organism_classificationBiotaMiocene mammalsTaxonHomininaeAnthropologyTaphonomyAfricaMammal[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/PaleontologySahelanthropus
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Give me a sample of air and I will tell which species are found from your region : Molecular identification of fungi from airborne spore samples

2017

Fungi are a megadiverse group of organisms, they play major roles in ecosystem functioning and are important for human health, food production and nature conservation. Our knowledge on fungal diversity and fungal ecology is however still very limited, in part because surveying and identifying fungi is time demanding and requires expert knowledge. We present a method that allows anyone to generate a list of fungal species likely to occur in a region of interest, with minimal effort and without requiring taxonomical expertise. The method consists of using a cyclone sampler to acquire fungal spores directly from the air to an Eppendorf tube, and applying DNA barcoding with probabilistic specie…

0106 biological sciences0301 basic medicineBACTERIALBiodiversityAir MicrobiologyDIVERSITYmolecular identificationLANDSCAPE SCALE01 natural sciencesDNA barcodingCOMMUNITY COMPOSITIONekosysteemitTEMPORAL VARIABILITYmolecular biologymolekyylibiologiaFinlandtunnistaminen2. Zero hungeralue-ekologiaOUTDOOR AIREcologySampling (statistics)ReplicateBiodiversitySpores Fungalekosysteemipalvelut1181 Ecology evolutionary biologySeasonsrecognitionsienetecosystemsBiotechnologyregional ecologySample (material)SHORT DISTANCESBiologyspore010603 evolutionary biology03 medical and health sciencesSpecies SpecificityGeneticsDNA Barcoding Taxonomicfungal sampling methodEcosystemEcology Evolution Behavior and SystematicsMolecular identificationWOOD-INHABITING FUNGIFungi15. Life on landatmospheric diversityATMOSPHERESporeekosysteemit (ekologia)fungal diversity030104 developmental biologyfungal survey1182 Biochemistry cell and molecular biologyfungiDISPERSAL LIMITATIONecosystem services
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Northern European Salmo trutta (L.) populations are genetically divergent across geographical regions and environmental gradients

2020

The salmonid fish Brown trout is iconic as a model for the application of conservation genetics to understand and manage local interspecific variation. However, there is still scant information about relationships between local and large-scale population structure, and to what extent geographical and environmental variables are associated with barriers to gene flow. We used information from 3,782 mapped SNPs developed for the present study and conducted outlier tests and gene–environment association (GEA) analyses in order to examine drivers of population structure. Analyses comprised >2,600 fish from 72 riverine populations spanning a central part of the species' distribution in norther…

0106 biological sciences0301 basic medicineConservation geneticsSELECTIONPopulationsalmonidCONSERVATIONlcsh:Evolutiongenotype‐environment association010603 evolutionary biology01 natural sciencesGene flow03 medical and health sciencesbrown troutLOCAL ADAPTATIONSampling designlcsh:QH359-425GeneticsGENOME SCANS14. Life underwaterSalmoeducationEcology Evolution Behavior and SystematicsLocal adaptationGenotype‐environment associationeducation.field_of_studyCLIMATE-CHANGEbiologyBROWN TROUTSTRUCTURED POPULATIONSR-PACKAGESampling (statistics)genotype-environment associationVDP::Matematikk og Naturvitenskap: 400biology.organism_classification030104 developmental biologyEvolutionary biologyoutlier testTEMPORAL-CHANGESOutlierGeneral Agricultural and Biological SciencesASCERTAINMENT BIASlocal adaptation
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Standardised spider (Arachnida, Araneae) inventory of Lammi, Finland

2020

In June 2019, an ecology field course of the University of Helsinki was held at Lammi Biological Station, Southern Finland. Within this course, the students familiarised themselves with field work and identification of spiders and explored the diversity of species in the area. Three sampling plots were chosen, one in grassland and two in boreal forest, to demonstrate the sampling techniques and, by applying a standardised protocol (COBRA), contribute to a global spider biodiversity project. The collected samples contained a total of 3445 spiders, of which 1956 (57%) were adult. Only adult spiders were accounted for in the inventory due to the impossibility of identification of juveniles. A …

0106 biological sciences0301 basic medicineFaunaBiodiversity & ConservationBiodiversity01 natural sciencesThelyphonidaBilaterialcsh:QH301-705.5näytteenottoFinlandCOBRAlajistokartoitusFAUNAEcologybiologyCephalornisData Paper (Biosciences)boreaalinen vyöhykeBiogeography1181 Ecology evolutionary biologyAraneaeChasmataspididahämähäkitNeogeneThomisidaeCoelenteratasamplingArthropodaNephrozoaProtostomiaZoologyTheridiidaeCircumscriptional names of the taxon under010603 evolutionary biology03 medical and health sciencesArachnidaAnimaliaboreal forestEcology Evolution Behavior and SystematicsPardosaSpiderbiology.organism_classificationLinyphiidae030104 developmental biologylcsh:Biology (General)NotchiaZoology & Animal BiologyEcdysozoaNeriene peltataBiodiversity Data Journal
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Effects of the temporal scale of observation on the analysis of aquatic invertebrate metacommunities

2020

The development of metacommunity theory has boosted the implementation of numerous empirical tests with field data, mostly focused on the role of spatial and environmental gradients on metacommunity organization. These studies showed an important dependence of the results on the observational scale considered, i.e., spatial grain, sampling spacing, and extent. However, few works deal with time per se as a component explaining metacommunity structure, even when data from periodic sampling are available. We suggest adding time explicitly to metacommunity analysis, but taking into account that the temporal scale of observation could affect the estimation of the relative influence of environmen…

0106 biological sciences0301 basic medicineMetacommunitytemporal scaleScale (ratio)Laglcsh:EvolutionselectionAtmospheric sciences010603 evolutionary biology01 natural sciences03 medical and health scienceslcsh:QH540-549.5lcsh:QH359-425dispersalTemporal scalesEcology Evolution Behavior and SystematicsInvertebrateEcologySampling (statistics)Ecologia030104 developmental biologymetacommunity dynamicsSpatial ecologyEnvironmental scienceBiological dispersalecological driftlcsh:Ecology
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Opportunity costs resulting from scramble competition within the choosy sex severely impair mate choosiness.

2016

12 pages; International audience; Studies on mate choice mainly focus on the evolution of signals that would maximize the probability of finding a good-quality partner. Most models of sexual selection rely on the implicit assumption that individuals can freely compare and spot the best mates in a heterogeneous population. Comparatively few studies have investigated the consequences of the mate-sampling process. Several sampling strategies have been studied from theoretical or experimental perspectives. They belong to two families of decision rules: best-of-n strategies (individuals sample n partners before choosing the best one within this pool) or threshold strategies (individuals sequenti…

0106 biological sciences0301 basic medicineOpportunity costmate-sampling strategyPopulationSample (statistics)010603 evolutionary biology01 natural sciencesEvolutionarily stable strategy03 medical and health sciences[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisEconometricseducationintrasexual competitionEcology Evolution Behavior and Systematics[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologyeducation.field_of_studythreshold decision rulechoosinessDecision rule030104 developmental biologyMate choiceSexual selectionAnimal Science and Zoologyopportunity costs[SDE.BE]Environmental Sciences/Biodiversity and EcologyPsychologyScramble competitionSocial psychology[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Alder pollen in Finland ripens after a short exposure to warm days in early spring, showing biennial variation in the onset of pollen ripening

2017

Abstract We developed a temperature sum model to predict the daily pollen release of alder, based on pollen data collected with pollen traps at seven locations in Finland over the years 2000–2014. We estimated the model parameters by minimizing the sum of squared errors (SSE) of the model, with weights that put more weight on binary recognition of daily presence or absence of pollen. The model results suggest that alder pollen ripens after a couple of warm days in February, while the whole pollen release period typically takes up to 4 weeks. We tested the model residuals against air humidity, precipitation and wind speed, but adding these meteorological features did not improve the model pr…

0106 biological sciencesAtmospheric Science010504 meteorology & atmospheric sciencesta1171Atmospheric sciencesmedicine.disease_causeAlnus01 natural sciencesAlderPollenotorhinolaryngologic diseasesmedicineMonte Carlo resamplingPrecipitationsiitepöly0105 earth and related environmental sciencespollen seasonGlobal and Planetary Changefloweringbiologyta114kukintaAnomaly (natural sciences)ta1183food and beveragesHumidityForestryRipeningennusteetmodelingalderbiology.organism_classificationta4112leppäMonte Carlo -menetelmätAlder pollenClimatologyta1181Short exposureAgronomy and Crop Science010606 plant biology & botanyAgricultural and Forest Meteorology
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GrassPlot – a database of multi-scale plant diversity in Palaearctic grasslands

2018

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). GrassPlot collects plot records (relevés) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001; ... 1,000 m²) and on nested-plot series with at least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes a…

0106 biological sciencesBiodiversityPlant Sciencecomputer.software_genre01 natural sciencesGrasslandSAMPLING-DESIGNRICHNESSEcoinformaticsddc:550biodiversity; European Vegetation Archive (EVA); Eurasian Dry Grassland Group (EDGG); grassland vegetation; GrassPlot; macroecology; multi-taxon; nested plot; scale-dependence; species-area relationship (SAR); sPlot; vegetation-plot databasescale-dependenceMacroecologybiodiversity2. Zero hungerSCALE DEPENDENCEgeography.geographical_feature_categoryDatabaseVegetationspecies-area relationship (SAR)Grasslandnested plotGeographymacroecologyInstitut für GeowissenschaftenEurasian Dry Grassland Group (EDGG)vegetation-plot database.EUROPEGrassPlotbiodiversity ; European Vegetation Archive (EVA) ; Eurasian Dry Grassland Group (EDGG) ; grassland vegetation ; GrassPlot ; macroecology ; multi-taxon ; nested plot scale-dependence ; species-area relationship (SAR) ; sPlot ; vegetation-plot database010603 evolutionary biologyEcoinformaticsmulti-taxon577: ÖkologieMETAANALYSISENVIRONMENTData collectionsPlotgrass- land vegetationDRY GRASSLANDSgrassland vegetationvegetation-plot database15. Life on landbiodiversity • European Vegetation Archive (EVA) • Eurasian Dry Grassland Group (EDGG) • grassland vegetation • GrassPlot • macroecology • multi-taxon • nested plot • scale-dependence • species-area relationship (SAR) • sPlot • vegetation-plot databaseMetadataPATTERNSSPECIES-AREA RELATIONSHIPSNested plot scale-dependenceVEGETATIONSpecies richnesscomputerbiodiversity; European Vegetation Archive (EVA); Eurasian Dry Grassland Group (EDGG); grassland vegetation; GrassPlot; macroecology; multi-taxon; nested plot scale-dependence; species-area relationship (SAR); sPlot; vegetation-plot database.010606 plant biology & botanyEuropean Vegetation Archive (EVA)
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