Assessing non-linearity in European temperature-sensitive tree-ring data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F20%3A00517122" target="_blank" >RIV/86652079:_____/20:00517122 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60460709:41320/20:84449 RIV/00216224:14310/20:00117042

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S1125786519301171?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1125786519301171?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.dendro.2019.125652" target="_blank" >10.1016/j.dendro.2019.125652</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Assessing non-linearity in European temperature-sensitive tree-ring data

Popis výsledku v původním jazyce

We test the application of parametric, non-parametric, and semi-parametric calibration models for reconstructing summer (June–August) temperature from a set of tree-ring width and density data on the same dendro samples from 40 sites across Europe. By comparing the performance of the three calibration models on öpairs” of tree-ring width (TRW) and maximum density (MXD) or maximum blue intensity (MXBI), we test whether a non-linear temperature response is more prevalent in TRW or MXD (MXBI) data, and whether it is associated with the temperature sensitivity and/or autocorrelation structure of the dendro parameters. We note that MXD (MXBI) data have a significantly stronger temperature response than TRW data as well as a lower autocorrelation that is more similar to that of the instrumental temperature data, whereas TRW exhibits a öredder” variability continuum. This study shows that the use of non-parametric calibration models is more suitable for TRW data, while parametric calibration is sufficient for both MXD and MXBI data – that is, we show that TRW is by far the more non-linear proxy.

Název v anglickém jazyce

Assessing non-linearity in European temperature-sensitive tree-ring data

Popis výsledku anglicky

We test the application of parametric, non-parametric, and semi-parametric calibration models for reconstructing summer (June–August) temperature from a set of tree-ring width and density data on the same dendro samples from 40 sites across Europe. By comparing the performance of the three calibration models on öpairs” of tree-ring width (TRW) and maximum density (MXD) or maximum blue intensity (MXBI), we test whether a non-linear temperature response is more prevalent in TRW or MXD (MXBI) data, and whether it is associated with the temperature sensitivity and/or autocorrelation structure of the dendro parameters. We note that MXD (MXBI) data have a significantly stronger temperature response than TRW data as well as a lower autocorrelation that is more similar to that of the instrumental temperature data, whereas TRW exhibits a öredder” variability continuum. This study shows that the use of non-parametric calibration models is more suitable for TRW data, while parametric calibration is sufficient for both MXD and MXBI data – that is, we show that TRW is by far the more non-linear proxy.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Dendrochronologia

ISSN

1125-7865

e-ISSN

—

Svazek periodika

59

Číslo periodika v rámci svazku

FEB 2020

Stát vydavatele periodika

IT - Italská republika

Počet stran výsledku

16

Strana od-do

125652

Kód UT WoS článku

000510466700002

EID výsledku v databázi Scopus

2-s2.0-85075210857