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Glacial-interglacial cycle variability in loess-paleosol and deep sea proxy data through logistic regression

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F18%3A43914918" target="_blank" >RIV/62156489:43410/18:43914918 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://www.shmu.sk/File/ExtraFiles/MET_CASOPIS/MC_2018-1.pdf" target="_blank" >http://www.shmu.sk/File/ExtraFiles/MET_CASOPIS/MC_2018-1.pdf</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Glacial-interglacial cycle variability in loess-paleosol and deep sea proxy data through logistic regression

  • Popis výsledku v původním jazyce

    Glacial-interglacial cycles differed by various relationships between atmospheric CO2 content variability and sedimentary properties. In this study, we estimate variability of the sedimentary proxy data in Late Quaternary through logistic regression. Relationships between CO2 in the Vostok ice-core (east Antarctica) and Delta18O from deep-sea sediments of the Ontong Basin (east Pacific) and magnetic susceptibility (MS), grain size median (GSM) and CaCO3 from the Lingtai formation (central China) loess-paleosol sequence were modelled for the period between 417 and 0 ka (Glacials E-A and MIS 11-1). The variabilities were estimated by changes in regression parameters among the Saalian (SC3 417-126 ka), Weichselian (SC2 126-12 ka) and Holocene (SC1 12-0 ka) supercycles. Not all the deep-sea and loess sediment properties recorded supercycle CO2 variation in the same way. Overall, the Delta18O ratio characterised CO2 content most accurately. Correlations between CO2 and Delta18O, MS and CaCO3 showed an increasing trend, while that for GSM decreased. While the significance of the MS correlation was similar to that for CaCO3 and Delta18O in the Holocene period, it was the least significant relationship between the Saalian and Weichselian supercycles. The difference between loess-paleosol glacial and interglacial proxy data increased more than that of Delta18O. Glacial values were influenced by CO2 variation more than interglacial values. Deep-sea Delta18O and natural soil CaCO3 registered the transition between glacial and interglacial periods most reliably. The start of an interglacial period was more reliably predicted than that of a glacial period due to the low interglacial soil CaCO3 content. While low CaCO3 content was not related to CO2 or Delta18O variation, soil CaCO3 content &gt; 2% was. Natural variability in Holocene proxy data appears suitable for predicting future environmental changes.

  • Název v anglickém jazyce

    Glacial-interglacial cycle variability in loess-paleosol and deep sea proxy data through logistic regression

  • Popis výsledku anglicky

    Glacial-interglacial cycles differed by various relationships between atmospheric CO2 content variability and sedimentary properties. In this study, we estimate variability of the sedimentary proxy data in Late Quaternary through logistic regression. Relationships between CO2 in the Vostok ice-core (east Antarctica) and Delta18O from deep-sea sediments of the Ontong Basin (east Pacific) and magnetic susceptibility (MS), grain size median (GSM) and CaCO3 from the Lingtai formation (central China) loess-paleosol sequence were modelled for the period between 417 and 0 ka (Glacials E-A and MIS 11-1). The variabilities were estimated by changes in regression parameters among the Saalian (SC3 417-126 ka), Weichselian (SC2 126-12 ka) and Holocene (SC1 12-0 ka) supercycles. Not all the deep-sea and loess sediment properties recorded supercycle CO2 variation in the same way. Overall, the Delta18O ratio characterised CO2 content most accurately. Correlations between CO2 and Delta18O, MS and CaCO3 showed an increasing trend, while that for GSM decreased. While the significance of the MS correlation was similar to that for CaCO3 and Delta18O in the Holocene period, it was the least significant relationship between the Saalian and Weichselian supercycles. The difference between loess-paleosol glacial and interglacial proxy data increased more than that of Delta18O. Glacial values were influenced by CO2 variation more than interglacial values. Deep-sea Delta18O and natural soil CaCO3 registered the transition between glacial and interglacial periods most reliably. The start of an interglacial period was more reliably predicted than that of a glacial period due to the low interglacial soil CaCO3 content. While low CaCO3 content was not related to CO2 or Delta18O variation, soil CaCO3 content &gt; 2% was. Natural variability in Holocene proxy data appears suitable for predicting future environmental changes.

Klasifikace

  • Druh

    J<sub>ost</sub> - Ostatní články v recenzovaných periodicích

  • CEP obor

  • OECD FORD obor

    10510 - Climatic research

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2018

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Meteorologický časopis

  • ISSN

    1335-339X

  • e-ISSN

  • Svazek periodika

    21

  • Číslo periodika v rámci svazku

    1

  • Stát vydavatele periodika

    SK - Slovenská republika

  • Počet stran výsledku

    10

  • Strana od-do

    3-12

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus