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pastclim: an R package to easily access and use paleoclimatic reconstructions

View ORCID ProfileMichela Leonardi, Emily Y. Hallett, Robert Beyer, Mario Krapp, View ORCID ProfileAndrea Manica
doi: https://doi.org/10.1101/2022.05.18.492456
Michela Leonardi
1Evolutionary Ecology Group, Department of Zoology, University of Cambridge, UK
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Emily Y. Hallett
2Pan African Evolution Research Group, Max Planck Institute for the Science of Human History, Jena, Germany
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Robert Beyer
1Evolutionary Ecology Group, Department of Zoology, University of Cambridge, UK
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Mario Krapp
1Evolutionary Ecology Group, Department of Zoology, University of Cambridge, UK
3GNS Science/Te Pū Ao, 30 Gracefield Rd, Gracefield, Lower Hutt 5010, New Zealand
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Andrea Manica
1Evolutionary Ecology Group, Department of Zoology, University of Cambridge, UK
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  • For correspondence: am315@cam.ac.uk
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Abstract

The recent development of continuous paleoclimatic reconstructions covering hundreds of thousands of years paved the way to a large number of studies from disciplines ranging from paleoecology to linguistics, from archaeology to conservation and from population genetics to human evolution. Unfortunately, such climatic data can be challenging to extract and analyze for scholars unfamiliar with such specific climatic file formats.

Here we present pastclim, an R package facilitating the access and use of two sets of paleoclimatic reconstructions covering respectively the last 120,000 and 800,000 years. The package contains a set of functions allowing to quickly and easily recover the climate for the whole world or specific areas for time periods of interest, extract data from locations scattered in space and/or time, retrieve time series from individual sites, and easily manage the ice or land coverage.

The package can easily be adapted to paleoclimatic reconstructions different from the ones already included, offering a handy platform to include the climate of the past into existing analyses and pipelines.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted May 19, 2022.
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pastclim: an R package to easily access and use paleoclimatic reconstructions
Michela Leonardi, Emily Y. Hallett, Robert Beyer, Mario Krapp, Andrea Manica
bioRxiv 2022.05.18.492456; doi: https://doi.org/10.1101/2022.05.18.492456
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pastclim: an R package to easily access and use paleoclimatic reconstructions
Michela Leonardi, Emily Y. Hallett, Robert Beyer, Mario Krapp, Andrea Manica
bioRxiv 2022.05.18.492456; doi: https://doi.org/10.1101/2022.05.18.492456

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