Detecting and quantifying palaeoseasonality in stalagmites using geochemical and modelling approaches
James T. Baldini
1
,
Franziska A. Lechleitner
2, 3
,
Sebastian F. M. Breitenbach
4
,
J. van Hunen
1
,
Lisa M Baldini
5
,
Peter M Wynn
6
,
Robert W. Jamieson
7
,
Harriet E Ridley
1
,
Alexander Baker
8
,
Izabela W Walczak
1
,
Jens Fohlmeister
9
Publication type: Journal Article
Publication date: 2021-02-01
scimago Q1
wos Q2
SJR: 1.334
CiteScore: 6.2
Impact factor: 3.3
ISSN: 02773791, 1873457X
Ecology, Evolution, Behavior and Systematics
Geology
Global and Planetary Change
Archeology
Abstract
Stalagmites are an extraordinarily powerful resource for the reconstruction of climatological palaeoseasonality. Here, we provide a comprehensive review of different types of seasonality preserved by stalagmites and methods for extracting this information. A new drip classification scheme is introduced, which facilitates the identification of stalagmites fed by seasonally responsive drips and which highlights the wide variability in drip types feeding stalagmites. This hydrological variability, combined with seasonality in Earth atmospheric processes, meteoric precipitation, biological processes within the soil, and cave atmosphere composition means that every stalagmite retains a different and distinct (but correct) record of environmental conditions. Replication of a record is extremely useful but should not be expected unless comparing stalagmites affected by the same processes in the same proportion. A short overview of common microanalytical techniques is presented, and suggested best practice discussed. In addition to geochemical methods, a new modelling technique for extracting meteoric precipitation and temperature palaeoseasonality from stalagmite d18O data is discussed and tested with both synthetic and real-world datasets. Finally, world maps of temperature, meteoric precipitation amount, and meteoric precipitation oxygen isotope ratio seasonality are presented and discussed, with an aim of helping to identify regions most sensitive to shifts in seasonality.
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Metrics
28
Total citations:
28
Citations from 2024:
12
(42.86%)
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BibTex
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GOST
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Baldini J. T. et al. Detecting and quantifying palaeoseasonality in stalagmites using geochemical and modelling approaches // Quaternary Science Reviews. 2021. Vol. 254. p. 106784.
GOST all authors (up to 50)
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Baldini J. T., Lechleitner F. A., Breitenbach S. F. M., van Hunen J., Baldini L. M., Wynn P. M., Jamieson R. W., Ridley H. E., Baker A., Walczak I. W., Fohlmeister J. Detecting and quantifying palaeoseasonality in stalagmites using geochemical and modelling approaches // Quaternary Science Reviews. 2021. Vol. 254. p. 106784.
Cite this
RIS
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TY - JOUR
DO - 10.1016/j.quascirev.2020.106784
UR - https://doi.org/10.1016/j.quascirev.2020.106784
TI - Detecting and quantifying palaeoseasonality in stalagmites using geochemical and modelling approaches
T2 - Quaternary Science Reviews
AU - Baldini, James T.
AU - Lechleitner, Franziska A.
AU - Breitenbach, Sebastian F. M.
AU - van Hunen, J.
AU - Baldini, Lisa M
AU - Wynn, Peter M
AU - Jamieson, Robert W.
AU - Ridley, Harriet E
AU - Baker, Alexander
AU - Walczak, Izabela W
AU - Fohlmeister, Jens
PY - 2021
DA - 2021/02/01
PB - Elsevier
SP - 106784
VL - 254
SN - 0277-3791
SN - 1873-457X
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2021_Baldini,
author = {James T. Baldini and Franziska A. Lechleitner and Sebastian F. M. Breitenbach and J. van Hunen and Lisa M Baldini and Peter M Wynn and Robert W. Jamieson and Harriet E Ridley and Alexander Baker and Izabela W Walczak and Jens Fohlmeister},
title = {Detecting and quantifying palaeoseasonality in stalagmites using geochemical and modelling approaches},
journal = {Quaternary Science Reviews},
year = {2021},
volume = {254},
publisher = {Elsevier},
month = {feb},
url = {https://doi.org/10.1016/j.quascirev.2020.106784},
pages = {106784},
doi = {10.1016/j.quascirev.2020.106784}
}