crestr: an R package to perform probabilistic climate reconstructions from palaeoecological datasets

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Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_411352ABCDD5
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
crestr: an R package to perform probabilistic climate reconstructions from palaeoecological datasets
Journal
Climate of the Past
Author(s)
Chevalier Manuel
ISSN
1814-9332
Publication state
Published
Issued date
19/04/2022
Peer-reviewed
Oui
Volume
18
Number
4
Pages
821-844
Language
english
Abstract
Statistical climate reconstruction techniques are fundamental tools to study past climate variability from fos- sil proxy data. In particular, the methods based on probabil- ity density functions (or PDFs) can be used in various en- vironments and with different climate proxies because they rely on elementary calibration data (i.e. modern geolocalised presence data). However, the difficulty of accessing and cu- rating these calibration data and the complexity of inter- preting probabilistic results have often limited their use in palaeoclimatological studies. Here, I introduce a new R pack- age (crestr) to apply the PDF-based method CREST (Cli- mate REconstruction SofTware) on diverse palaeoecological datasets and address these problems. crestr includes a glob- ally curated calibration dataset for six common climate prox- ies (i.e. plants, beetles, chironomids, rodents, foraminifera, and dinoflagellate cysts) associated with an extensive range of climate variables (20 terrestrial and 19 marine variables) that enables its use in most terrestrial and marine environ- ments. Private data collections can also be used instead of, or in combination with, the provided calibration dataset. The package includes a suite of graphical diagnostic tools to rep- resent the data at each step of the reconstruction process and provide insights into the effect of the different modelling as- sumptions and external factors that underlie a reconstruction. With this R package, the CREST method can now be used in a scriptable environment and thus be more easily integrated with existing workflows. It is hoped that crestr will be used to produce the much-needed quantified climate reconstruc- tions from the many regions where they are currently lack- ing, despite the availability of suitable fossil records. To sup- port this development, the use of the package is illustrated with a step-by-step replication of a 790 000-year-long mean annual temperature reconstruction based on a pollen record from southeastern Africa.
Keywords
Paleontology, Stratigraphy, Global and Planetary Change
Web of science
Open Access
Yes
Create date
16/05/2022 10:28
Last modification date
28/02/2023 7:09
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