dc.contributor.author | Ljungqvist, Fredrik Charpentier | |
dc.contributor.author | Thejll, Peter | |
dc.contributor.author | Björklund, Jesper | |
dc.contributor.author | Gunnarson, Björn E. | |
dc.contributor.author | Piermattei, Alma | |
dc.contributor.author | Rydval, Miloš | |
dc.contributor.author | Seftigen, Kristina | |
dc.contributor.author | Støve, Bård | |
dc.contributor.author | Büntgen, Ulf | |
dc.date.accessioned | 2020-12-21T10:32:17Z | |
dc.date.available | 2020-12-21T10:32:17Z | |
dc.date.created | 2020-09-02T12:43:38Z | |
dc.date.issued | 2020-02 | |
dc.Published | Dendrochronologia. 2020, 59:125652 | en_US |
dc.identifier.issn | 1125-7865 | |
dc.identifier.uri | https://hdl.handle.net/11250/2720549 | |
dc.description.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. | |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Assessing non-linearity in European temperature-sensitive tree-ring data | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | Copyright 2020 The Authors | |
dc.source.articlenumber | 125652 | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |
dc.identifier.doi | 10.1016/j.dendro.2019.125652 | |
dc.identifier.cristin | 1826717 | |
dc.source.journal | Dendrochronologia | en_US |
dc.source.40 | 59 | en_US |