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Assessing non-linearity in European temperature-sensitive tree-ring data
- Source :
- Dendrochronologia
- Publication Year :
- 2020
- Publisher :
- Elsevier, 2020.
-
Abstract
- 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 pairs” 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 redder” 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. publishedVersion
- Subjects :
- 0106 biological sciences
Temperature sensitivity
010504 meteorology & atmospheric sciences
Ecology
Autocorrelation
Non linearity
Plant Science
Dendroclimatology
Atmospheric sciences
01 natural sciences
Computer Science::Computer Vision and Pattern Recognition
Maximum density
Temperature sensitive
Tree ring data
Geology
010606 plant biology & botany
0105 earth and related environmental sciences
Parametric statistics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Dendrochronologia
- Accession number :
- edsair.doi.dedup.....60fccfde0de8978c18ee24f2abf6e434