Search results for "ZEN"

showing 10 items of 3479 documents

Du Néolithique récent à l’âge du Bronze dans le Centre Nord de la France : les étapes de l’évolution chrono-culturelle

2011

Die seit 2001 im Rahmen eines PCR (Programme Collectif Régional) durchgeführte Gemeinschaftsarbeit über das Ende des Neolithikums und den Beginns der Bronzezeit im Zentrum Nordfrankreichs führt heute zu einer neuen Periodisierung der Zeit zwischen 3600 und 1800 v. Chr. in acht Etappen. Obwohl, insbesondere bezüglich der Transition zwischen dem Mittel-und dem Jungneolithikum einerseits und dem Jung-und dem Endneolithikum andererseits, auch weiterhin einige Lücken bestehen, erlaubt dieser präzisere Rahmen die Hauptetappen im Zentrum Nordfrankreichs mit denen der benachbarten Regionen zu synchronisieren, um eine dynamischere Vision der kulturellen Phänomene vorzuschlagen.

010506 paleontology060102 archaeologyCampaniformemedia_common.quotation_subjectNéolithiqueJungneolithikum ; Endneolithikum ; Frühbronzezeit ; Chronologie ; Zentrum Nordfrankreichs06 humanities and the artsArt01 natural sciences[SHS]Humanities and Social SciencesLate Neolithic ; central part of northern France ; Chronology ; Early Bronze Age ; Final NeolithicChronologie 14C AMSAge du BronzeBronze Age[ SHS ] Humanities and Social Sciences0601 history and archaeologyPharmacology (medical)[SHS] Humanities and Social SciencesBronze ancien ; Néolithique récent ; Néolithique final ; chronologie ; Centre Nord de la FranceHumanitiesNord de la FranceComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesmedia_common
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Comment on the letter of the Society of Vertebrate Paleontology (SVP) dated April 21, 2020 regarding “Fossils from conflict zones and reproducibility…

2020

Motivation for this comment Recently, the Society of Vertebrate Paleontology (SVP) has sent around a letter, dated 21st April, 2020 to more than 300 palaeontological journals, signed by the President, Vice President and a former President of the society (Rayfield et al. 2020). The signatories of this letter request significant changes to the common practices in palaeontology. With our present, multi-authored comment, we aim to argue why these suggestions will not lead to improvement of both practice and ethics of palaeontological research but, conversely, hamper its further development. Although we disagree with most contents of the SVP letter, we appreciate this initiative to discuss scien…

010506 paleontologyCretaciHistoryamberGeological heritageMyanmarminingPatrimoni geològic01 natural sciencesPaleontología03 medical and health sciencesAmbreCitizen scienceVertebrate paleontology10. No inequalityVice presidentComputingMilieux_MISCELLANEOUS030304 developmental biology0105 earth and related environmental sciences0303 health sciencesCretaceous PeriodPaleontologyAmberEvoluciónLaw[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/PaleontologyAmateuramber Myanmar mining
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Citizen Science in the Natural Sciences

2021

AbstractThe natural sciences include the life and physical sciences and study nature through observing and understanding phenomena, testing hypotheses, and performing experiments. Key principles such as reliability, validity, objectivity, and predictability are achieved through transparent assumptions, methods, data, and interpretations as well as multidisciplinarity.In this chapter we present insights into the genesis of citizen science in the natural sciences and reflect on the intellectual history of the natural sciences in relation to citizen science today. Further, we consider the current scientific approaches and achievements of natural science projects, which are applying citizen sci…

0106 biological sciences010504 meteorology & atmospheric sciencesComputer scienceManagement scienceTheoretical research010603 evolutionary biology01 natural sciencesEmpirical researchMultidisciplinary approachCitizen scienceNatural sciencePredictabilityObjectivity (science)Reliability (statistics)0105 earth and related environmental sciences
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Divergent parasite infections in sympatric cichlid species in Lake Victoria

2018

Parasitism has been proposed as a factor in host speciation, as an agent affecting coexistence of host species in species-rich communities and as a driver of post-speciation diversification. Young adaptive radiations of closely related host species of varying ecological and genomic differentiation provide interesting opportunities to explore interactions between patterns of parasitism, divergence and coexistence of sympatric host species. Here, we explored patterns in ectoparasitism in a community of 16 fully sympatric cichlid species at Makobe Island in Lake Victoria, a model system of vertebrate adaptive radiation. We asked whether host niche, host abundance or host genetic differentiatio…

0106 biological sciences0301 basic medicineParasitismZoologyparasitismiisäntälajitTanzania010603 evolutionary biology01 natural sciencesHost Specificity03 medical and health sciencesgenomic differentiationCichlidEctoparasitismAdaptive radiationAnimals14. Life underwaterincipient speciesEcosystemEcology Evolution Behavior and SystematicsbiologyHost (biology)PundamiliaCichlidsbiology.organism_classificationhost-parasite interactionsLakesSympatry030104 developmental biologyerilaistuminenSympatric speciationPundamilia pundamiliaperimäJanzen-Connell mechanismta1181lajiutuminenahvenkalatTrematodaadaptive radiationJournal of Evolutionary Biology
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Variable crab camouflage patterns defeat search image formation.

2021

Understanding what maintains the broad spectrum of variation in animal phenotypes and how this influences survival is a key question in biology. Frequency dependent selection – where predators temporarily focus on one morph at the expense of others by forming a “search image” – can help explain this phenomenon. However, past work has never tested real prey colour patterns, and rarely considered the role of different types of camouflage. Using a novel citizen science computer experiment that presented crab “prey” to humans against natural backgrounds in specific sequences, we were able to test a range of key hypotheses concerning the interactions between predator learning, camouflage and mor…

0106 biological sciences0301 basic medicineTime FactorsComputer scienceQH301-705.5BrachyuraBehavioural ecologyFrequency-dependent selectionMedicine (miscellaneous)ColorVariation (game tree)010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyArticlePredationtaskuravut03 medical and health sciencesDisruptive colorationCitizen scienceAnimalsHumansexperimental evolutionBiology (General)muuntelu (biologia)PredatorEcosystemsuojaväriMechanism (biology)Pigmentationbehavioural ecologyAdaptation Physiological030104 developmental biologyPhenotypeVideo GamesExperimental evolutionEvolutionary biologyCamouflagePattern Recognition PhysiologicalPredatory BehaviorfenotyyppiGeneral Agricultural and Biological SciencesColor PerceptionCommunications biology
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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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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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Enabling policy innovations promoting multiple ecosystem benefits: lessons learnt from case studies in the Baltic Sea Region

2019

Abstract This paper analyses how specific institutional barriers and drivers affect the success of agri-environmental governance and policy innovations in four case study catchments in Germany, Latvia, Poland and Sweden. Possible adaptations of institutional settings are explored, aiming at increased effectiveness of policies and governance in delivering multiple ecosystem benefits along with reduced nutrient emissions and flood management. Factors of success synthesized from existing examples of innovative policy instruments in the EU and further afield are used to identify barriers and opportunities for the implementation of policy innovations in different institutional settings across th…

0106 biological sciencesCivil societyFlood mythCorporate governanceGeography Planning and Development0211 other engineering and technologiesStakeholder021107 urban & regional planningCitizen journalism02 engineering and technologyManagement Monitoring Policy and LawPrivate sector01 natural sciences010601 ecologyIntermediaryIncentiveBusinessEnvironmental planningWater Science and TechnologyWater Policy
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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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Facebook groups as citizen science tools for plant species monitoring

2021

I social network sono canali di comunicazione utilizzati per condividere enormi quantità di dati, che possono essere utilizzati per la ricerca scientifica, anche nel campo della biodiversità. Per sapere quanto i dati ricavati dai social network possono integrare quelli raccolti per scopi scientifici, è necessario individuarne i bias. Utilizzando i dati estratti da un gruppo Facebook specializzato nella flora vascolare siciliana, abbiamo analizzato quali sono i caratteri che aumentano la probabilità che una pianta spontanea venga fotografata e postata su un social network. A tal fine, abbiamo confrontato frequenze e attributi delle specie fotografate dai membri del gruppo Facebook con quelli…

0106 biological sciencesFloraFacebookEcologySocial networkdatabasesbusiness.industryEnvironmental resource managementMediterranean010603 evolutionary biology01 natural sciencesfloraGeographyplant traitsSettore BIO/03 - Botanica Ambientale E ApplicataPlant speciesCitizen sciencesocial networkPlant traitsbusinessSicily010606 plant biology & botanydatabases European Vegetation Archive (EVA) Facebook flora Mediterranean plant traits Sicily social networkEuropean Vegetation Archive (EVA)
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