Michela Leonardi
I reconstruct species and population dynamics through time. I do so by integrating data and methods from different fields: ecology, archaeology, palaeoclimatology, and (less often), population genetics.
I developed two informatic tools (R packages) that facilitate palaeoecological analyses at a large scale.
pastclim (https://evolecolgroup.github.io/pastclim/) allows easy access and manipulation of several sets of palaeoclimatic reconstructions covering the whole world between 5 million years ago and future climate projections. It can also work on custom data, if properly formatted, and contains a set of functions to recover the climate for periods of interest for the whole world or specific areas; extract data from locations scattered in space and/or time; retrieve time series from individual sites; and visualise and handle the ice or land coverage.
tidysdm (https://evolecolgroup.github.io/tidysdm) is the first software to natively perform species distribution/habitat suitability/ecological niche modelling based on time-scattered data. Given a set of observations and the associated palaeoclimate, it identifies the relationship between the species of interest and the environment and reconstructs the potential distribution through time. The integration with pastclim allows hassle-free access and handling of palaeoclimatic data.
In my career, I have been working on a wide range of research questions focussing on both animals and humans. Here are a few projects I have carried out in recent years:
• Reconstruct culture-environmental relationships (European Acheulean)
• Reconstruct ecological niche dynamics through time using archaeological occurrences (late Pleistocene European ungulates)
• Species distribution modelling through time using modern occurrences (several holarctic bord species)
• How climate and migrations impacted human genetic diversity through time (Out of Africa, Palaeolithic demography, Neolithic diffusion, Migraine diffusion)
• Ancient DNA analysis (European Late Pleistocene/Holocene horses, North-Western humans from Tuscany)
Address: Cromwell Rd
I developed two informatic tools (R packages) that facilitate palaeoecological analyses at a large scale.
pastclim (https://evolecolgroup.github.io/pastclim/) allows easy access and manipulation of several sets of palaeoclimatic reconstructions covering the whole world between 5 million years ago and future climate projections. It can also work on custom data, if properly formatted, and contains a set of functions to recover the climate for periods of interest for the whole world or specific areas; extract data from locations scattered in space and/or time; retrieve time series from individual sites; and visualise and handle the ice or land coverage.
tidysdm (https://evolecolgroup.github.io/tidysdm) is the first software to natively perform species distribution/habitat suitability/ecological niche modelling based on time-scattered data. Given a set of observations and the associated palaeoclimate, it identifies the relationship between the species of interest and the environment and reconstructs the potential distribution through time. The integration with pastclim allows hassle-free access and handling of palaeoclimatic data.
In my career, I have been working on a wide range of research questions focussing on both animals and humans. Here are a few projects I have carried out in recent years:
• Reconstruct culture-environmental relationships (European Acheulean)
• Reconstruct ecological niche dynamics through time using archaeological occurrences (late Pleistocene European ungulates)
• Species distribution modelling through time using modern occurrences (several holarctic bord species)
• How climate and migrations impacted human genetic diversity through time (Out of Africa, Palaeolithic demography, Neolithic diffusion, Migraine diffusion)
• Ancient DNA analysis (European Late Pleistocene/Holocene horses, North-Western humans from Tuscany)
Address: Cromwell Rd
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Papers by Michela Leonardi
Here we present tidysdm, an R package that solves this problem by taking advantage of the tidymodels universe. Being part of the tidyverse, (i) it has standardised grammar and data structures providing a coherent interface for modelling, (ii) includes packages designed for fitting, tuning, and validating various models, and (iii) allows easy integration of new algorithms and methods.
tidysdm allows easy, flexible and quick species distribution modelling by supporting standard algorithms, including additional SDM-oriented functions, and giving the opportunity of using any algorithm or procedure to fit, tune and validate a large number of different models. Additionally, it provides further functions to easily fit models based on paleo/time-scattered data.
The package includes two vignettes detailing standard procedures for present-day and time-scattered data. These vignettes also showcase the integration with pastclim (Leonardi et al. 2023) to allow easier access to palaeoclimatic data series, if needed, but users can bring in their own climatic data in standard formats.
Here we present tidysdm, an R package that solves this problem by taking advantage of the tidymodels universe. Being part of the tidyverse, (i) it has standardised grammar and data structures providing a coherent interface for modelling, (ii) includes packages designed for fitting, tuning, and validating various models, and (iii) allows easy integration of new algorithms and methods.
tidysdm allows easy, flexible and quick species distribution modelling by supporting standard algorithms, including additional SDM-oriented functions, and giving the opportunity of using any algorithm or procedure to fit, tune and validate a large number of different models. Additionally, it provides further functions to easily fit models based on paleo/time-scattered data.
The package includes two vignettes detailing standard procedures for present-day and time-scattered data. These vignettes also showcase the integration with pastclim (Leonardi et al. 2023) to allow easier access to palaeoclimatic data series, if needed, but users can bring in their own climatic data in standard formats.
pastclim (Leonardi et al. 2023a, https://evolecolgroup.github.io/pastclim/) allows easy access and manipulation of several sets of palaeoclimatic reconstructions covering the whole world between 5 million years ago and future climate projections. It can also work on custom data, if properly formatted, and contains a set of functions to recover the climate for periods of interest for the whole world or specific areas; extract data from locations scattered in space and/or time; retrieve time series from individual sites; and visualise and handle the ice or land coverage.
tidysdm (Leonardi et al. 2023b, https://evolecolgroup.github.io/tidysdm) is the first software to natively perform species distribution/habitat suitability/ecological niche modelling based on time-scattered data. Given a set of observations and the associated palaeoclimate, it identifies the relationship between the species of interest and the environment; and reconstruct the potential distribution through time. The integration with pastclim allows hassle-free access and handling of palaeoclimatic data. These easy-to-use and freely available tools can offer exciting new possibilities to test for the role of palaeoclimate in cultural or biological processes to scholars studying the past from any field (archaeology, palaeoecology, palaeoanthropology, archaeozoology, archaeobotany, linguistics, etc.).