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

0517122 - ÚVGZ 2021 RIV IT eng J - Journal Article
Ljungqvist, F. C. - Thejll, P. - Björklund, J. - Gunnarson, B. E. - Piermattei, A. - Rydval, M. - Seftigen, K. - Støve, B. - Büntgen, Ulf
Assessing non-linearity in European temperature-sensitive tree-ring data.
Dendrochronologia. Roč. 59, FEB 2020 (2020), č. článku 125652. ISSN 1125-7865. E-ISSN 1612-0051
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Institutional support: RVO:86652079
Keywords : Calibration methods * Dendroclimatology * Non-linearities * Tree-ring maximum blue intensity * Tree-ring maximum density * Tree-ring width
OECD category: Forestry
Impact factor: 2.691, year: 2020
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S1125786519301171?via%3Dihub

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.
Permanent Link: http://hdl.handle.net/11104/0302410