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@article{2423339,
author = {Arosio, Tito and Torbenson, Max and Bebchuk, Tatiana and Kirdyanov, Alexander and Esper, Jan and Nakatsuka, Takeshi and Sano, Masaki and Urban, Otmar and Nicolussi, Kurt and Leuenberger, Markus and Büntgen, Ulf},
article_number = {September},
doi = {http://dx.doi.org/10.1016/j.quascirev.2024.108861},
keywords = {Climate reconstructions; Proxy data; Stable isotopes; Spectral properties; Tree rings},
language = {eng},
issn = {0277-3791},
journal = {Quaternary Science Reviews},
title = {Methodological constrains of tree-ring stable isotope chronologies},
url = {https://www.sciencedirect.com/science/article/pii/S0277379124003627},
volume = {340},
year = {2024}
}
TY - JOUR
ID - 2423339
AU - Arosio, Tito - Torbenson, Max - Bebchuk, Tatiana - Kirdyanov, Alexander - Esper, Jan - Nakatsuka, Takeshi - Sano, Masaki - Urban, Otmar - Nicolussi, Kurt - Leuenberger, Markus - Büntgen, Ulf
PY - 2024
TI - Methodological constrains of tree-ring stable isotope chronologies
JF - Quaternary Science Reviews
VL - 340
IS - September
SP - 1-11
EP - 1-11
PB - Elsevier Ltd
SN - 02773791
KW - Climate reconstructions
KW - Proxy data
KW - Stable isotopes
KW - Spectral properties
KW - Tree rings
UR - https://www.sciencedirect.com/science/article/pii/S0277379124003627
N2 - Tree-ring stable isotope (TRSI) chronologies that combine information from living and relict wood have the potential to capture long-term trends that might be missing in traditional tree-ring width and maximum latewood density measurements. Our understanding of the possible effects of different methods to develop TRSI chronologies is, however, still incomplete. Here, we compare and evaluate five such methods applied to three multi-millennial-long oxygen isotope (δ18O) TRSI datasets from central Europe, the European Alps and Japan: (a) raw data, (b) cohort correction, (c) interactive mean correction, (d) outlier correction, and (e) series normalization. We show that the spectral properties preserved in the final TRSI chronologies not only depend on the data used, but also on the techniques applied. Method (a) is particularly prone to outliers if the sample size is low. Method (b) may create artificial steps and trends when single measurement series share similar start dates and/or when end and start dates are systematically skewed. Methods (c) and (d) yield similar results for annually resolved data, yet (d) is more suitable for temporally pooled datasets and less sensitive to potential biological age effects. Method (e) removes any low-frequency signal. Our findings demonstrate the risks and rewards of different TRSI chronology development techniques that must be carefully adapted to both, the data used and the question posed.
ER -
AROSIO, Tito, Max TORBENSON, Tatiana BEBCHUK, Alexander KIRDYANOV, Jan ESPER, Takeshi NAKATSUKA, Masaki SANO, Otmar URBAN, Kurt NICOLUSSI, Markus LEUENBERGER and Ulf BÜNTGEN. Methodological constrains of tree-ring stable isotope chronologies. \textit{Quaternary Science Reviews}. Elsevier Ltd, 2024, vol.~340, September, p.~1-11. ISSN~0277-3791. Available from: https://dx.doi.org/10.1016/j.quascirev.2024.108861.
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