Climate Change activity with schoolchildren at the Zoology Museum

In the next couple of weeks, I will be hosting three sessions about climate change with Year 10 students (14-15 years old), at the Museum of Zoology, University of Cambridge.

I will be giving a short talk explaining the relationship between climate change, evolution and extinction and then we will play the board game that I have created based on my research.

Learning how climate changes impact animal species gives a better understanding of the actual threats linked to the current climate emergency. Understanding such processes through a game makes the students’ experience more engaging and less stressful than it would be when following a lecture or a talk.

pastclim v. 1.2 and paper

pastclim, our R package to easily access and use paleoclimatic reconstructions has now been updated to version 1.2. Moreover, is now out in Ecography the paper describing it:

Michela Leonardi, Emily Y. Hallett, Robert Beyer, Mario Krapp, Andrea Manica
pastclim 1.2: an R package to easily access and use paleoclimatic reconstructions
Ecography, First published: 05 January 2023 https://doi.org/10.1111/ecog.06481

Here is a list of what is new compared to the preprint:

  • pastclim is now on CRAN: https://cran.r-project.org/web/packages/pastclim/index.html;
  • We have added functions to crop based on an extent or a mask, and to randomly sample points across space and/or time;
  • We added a cheatsheet summarising the main functions;
  • A new vignette shows how to work with custom data and how to add them to the package in order for them to be available for all users.

Here is a table summarising the functions used in the package

Download the data
get_data_path()Retrieve the path in which pastclim automatically stores the data
set_data_path()Store the data in a custom path
download_dataset()Download a whole dataset (all variables available)
get_vars_for_dataset()
Download variables of choice for a given dataset
Download variables of choice for a given dataset
get_downloaded_datasets()Summary of the downloaded variables
get_time_steps()List of time steps available in a given dataset
Get climate for locations or regions
location_slice()Get the climate for given locations (by coordinates and age)
location_series()Get time series of the climate for given locations
region_slice()get the climate for a given region in a given time step
sample_region_slice()sample a given number of points from the climate of a region
region_series()get the time series of the climate for a given region
sample_region_series()sample a given series of points from the time series of a region
Working with biomes and ice sheets
get_biome_classes()legend of the ‘biome’ categorical variable, when available
get_ice_mask()get a mask with the extent of the ice sheets for a given time step
get_land_mask()get a mask with the extent of the land masses for a given time step
Vignettes
vignette(“pastclim_overview”, package = “pastclim”)overview of pastclim
vignette(“custom_datasets”, package = “pastclim”)how to add a new dataset to pastclim
vignette(“available_datasets”, package = “pastclim”)list of datasets available

More info:

website: https://evolecolgroup.github.io/pastclim/index.html
manual: https://rdrr.io/github/EvolEcolGroup/pastclim/
GitHub repository: https://github.com/EvolEcolGroup/pastclim
CRAN: https://cran.r-project.org/web/packages/pastclim/index.html
vignette: https://evolecolgroup.github.io/pastclim/articles/a0_pastclim_overview.html
cheatsheet: evolecolgroup.github.io/pastclim/pastclim_cheatsheet.pdf

If something does not work

You can raise an issue here

Talk for the Palaeolithic-Mesolithic seminar series, Cambridge

If you are in Cambridge tomorrow, I will be at the Department of Archaeology to give a talk in the Palaeolithic-Mesolithic seminar series.

My presentation will be about “Integrating palaeoclimate into the study of the past“, and I will also be introducing pastclim, our R package to easily access and use palaeoclimatic data. The seminar will not be recorded.

My gratitude goes to Aman Kang and Anna Mika, organisers of the series, who invited me.

Talk for the Uppsala-Hacettepe Palaeogenetics and Population Genetics Seminar Series

Tomorrow I will be giving a talk about “Integrating palaeoclimate into population genomics” for the Uppsala-Hacettepe Palaeogenetics and Population Genetics (UHPalaeopopgen) webinar series.

If you want to follow the webinar, sign up from this link. The talk will not be recorded.

Thanks to the organisers Gülşah Merve Kılınç (Hacettepe University) and Torsten Günther (Uppsala University) for inviting me!

The impact of the Last Glacial Maximum on European ungulates

It is now out in Communications biology the article that I have written with Andrea Manica (Cambridge), Francesco Boschin e Paolo Boscato (Siena).

Michela Leonardi, Francesco Boschin, Paolo Boscato & Andrea Manica
Following the niche: the differential impact of the last glacial maximum on four European ungulates
Communications Biology volume 5, Article number: 1038 (2022)

What happened to temperate ungulates in Europe during the climatic fluctuations that have affected the last 50,000 years? To answer this question we compiled a database of radiocarbon dates associated with remains of horses, aurochs, deer and wild boars dated between 47,000 and 7,500 years ago (so as to exclude domesticated individuals).

We then developed a new method to reconstruct their (realised) ecological niche, while also testing for changes through time.

Analysing our data we found that all four species changed their niche, mainly during the Last Glacial Maximum (LGM) or shortly after, in a pattern consistent with individual habitat preferences. The distribution of horses and deer (cold-adapted species) spread eastwards until the LGM, while aurochs and wild boar are restricted to Central and Western Europe. The four potential distributions became more similar from the LateGlacial (but it does not imply the same about their preferences).

In more general terms, with this study we demonstrate that even large species, with long generation times, can change their niche in the course of a few thousand years. This must suggest extreme caution when assuming that the ecological niche remains constant both when reconstructing the past and when forecasting the future.

And, if you got this far into this commentary, here is a little surprise for you!

Article

Michela Leonardi, Francesco Boschin, Paolo Boscato & Andrea Manica
Following the niche: the differential impact of the last glacial maximum on four European ungulates
Communications Biology volume 5, Article number: 1038 (2022) DOI: 10.1038/s42003-022-03993-7

Abstract

Predicting the effects of future global changes on species requires a better understanding of the ecological niche dynamics in response to climate; the large climatic fluctuations of the last 50,000 years can be used as a natural experiment to that aim. Here we test whether the realized niche of horse, aurochs, red deer, and wild boar changed between 47,000 and 7500 years ago using paleoecological modelling over an extensive archaeological database. We show that they all changed their niche, with species-specific responses to climate fluctuations. We also suggest that they survived the climatic turnovers thanks to their flexibility and by expanding their niche in response to the extinction of competitors and predators. Irrespective of the mechanism behind such processes, the fact that species with long generation times can change their niche over thousands of years cautions against assuming it to stay constant both when reconstructing the past and predicting the future.