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Different maximum latewood density and blue intensity measurements techniques reveal similar results

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F18%3A00113406" target="_blank" >RIV/00216224:14310/18:00113406 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/86652079:_____/18:00496018

  • Výsledek na webu

    <a href="https://www.sciencedirect.com/science/article/pii/S1125786517300450" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1125786517300450</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.dendro.2018.03.005" target="_blank" >10.1016/j.dendro.2018.03.005</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Different maximum latewood density and blue intensity measurements techniques reveal similar results

  • Popis výsledku v původním jazyce

    Annually resolved and absolutely dated Maximum Latewood Density (MXD) and Blue Intensity (BI) measurements are frequently used for reconstructing summer temperature variability over the last centuries to millennia. A direct comparison of the outcome of both methods using similar material is needed due to how quickly this method is being adopted. The application of slightly different measuring systems (hardware) and analysis tools (software) in tandem with different wood samples and preparation procedures further challenges any straightforward assessment. Here we process 26 Norway spruce samples from the upper timberline in the Polish Tatra Mountains with the six most frequently used MXD and BI applications. Although offset is found in the raw MXD and BI data (0.04-0.13 g/cm(3) and 0.45-1.58 dimensionless blue intensity), interannual and longer-term fluctuations are significantly (p &lt; 0.01) positively correlated between all MXD and BI time-series. Our results emphasize the potential of faster and cheaper, as well as overall more user-friendly techniques to generate reliable MXD surrogates for high-frequency dendroclimatological studies. Although the correlations between MXD and BI were lower than within MXD and BI, the results of growth-climate response performed for both proxies show only marginal differences. The obtained level-offset further questions the suitability of joining different density surrogates for developing long-term composite chronologies to reconstruct low-frequency climate variability.

  • Název v anglickém jazyce

    Different maximum latewood density and blue intensity measurements techniques reveal similar results

  • Popis výsledku anglicky

    Annually resolved and absolutely dated Maximum Latewood Density (MXD) and Blue Intensity (BI) measurements are frequently used for reconstructing summer temperature variability over the last centuries to millennia. A direct comparison of the outcome of both methods using similar material is needed due to how quickly this method is being adopted. The application of slightly different measuring systems (hardware) and analysis tools (software) in tandem with different wood samples and preparation procedures further challenges any straightforward assessment. Here we process 26 Norway spruce samples from the upper timberline in the Polish Tatra Mountains with the six most frequently used MXD and BI applications. Although offset is found in the raw MXD and BI data (0.04-0.13 g/cm(3) and 0.45-1.58 dimensionless blue intensity), interannual and longer-term fluctuations are significantly (p &lt; 0.01) positively correlated between all MXD and BI time-series. Our results emphasize the potential of faster and cheaper, as well as overall more user-friendly techniques to generate reliable MXD surrogates for high-frequency dendroclimatological studies. Although the correlations between MXD and BI were lower than within MXD and BI, the results of growth-climate response performed for both proxies show only marginal differences. The obtained level-offset further questions the suitability of joining different density surrogates for developing long-term composite chronologies to reconstruct low-frequency climate variability.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10500 - Earth and related environmental sciences

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

    DENDROCHRONOLOGIA

  • ISSN

    1125-7865

  • e-ISSN

  • Svazek periodika

    49

  • Číslo periodika v rámci svazku

    JUN 2018

  • Stát vydavatele periodika

    DE - Spolková republika Německo

  • Počet stran výsledku

    8

  • Strana od-do

    94-101

  • Kód UT WoS článku

    000433995400011

  • EID výsledku v databázi Scopus

    2-s2.0-85044724653