Abstract:During the Quaternary, large climate oscillations impacted the distribution and demography of species globally. Two approaches have played a major role in reconstructing changes through time: Bayesian Skyline Plots (BSPs), which reconstruct population fluctuations based on genetic data, and Species Distribution Models (SDMs), which allow us to back‐cast the range occupied by a species based on its climatic preferences. In this paper, we contrast these two approaches by applying them to a large data set of 102 … Show more
“…The analyses presented will focus on comparing the climate associated with observations to the one from the whole region of interest, and they may represent exploratory steps prior to species distribution modelling (e.g. Miller et al 2021b).…”
Section: Methods and Featuresmentioning
confidence: 99%
“…e . ecology (Miller et al 2021a, b), paleoecology (Leonardi et al 2018, 2020, Somveille et al 2020, Chen et al 2021, Schap et al 2021, Thorup et al 2021), conservation (Beyer and Manica 2021), population genetics (Maisano Delser et al 2021), archaeology (Racimo et al 2020, Betti et al 2020, Beyer et al 2021, Krzyzanska et al 2021, Park and Marwick 2022, Cerasoni et al 2022, Timbrell et al 2022), the evolution of the genus Homo (Will et al 2021, Timmermann et al 2022), anthropology (Leonardi et al 2017, Padilla-Iglesias et al 2021) and linguistics (Beyer et al 2019).…”
The recent development of continuous paleoclimatic reconstructions covering hundreds of thousands of years paved the way for a large number of studies from disciplines ranging from paleoecology to archaeology, conservation to population genetics, and human evolution to linguistics. Unfortunately, (paleo)climatic data can be challenging to extract and analyze for scholars unfamiliar with such specific 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.
“…The analyses presented will focus on comparing the climate associated with observations to the one from the whole region of interest, and they may represent exploratory steps prior to species distribution modelling (e.g. Miller et al 2021b).…”
Section: Methods and Featuresmentioning
confidence: 99%
“…e . ecology (Miller et al 2021a, b), paleoecology (Leonardi et al 2018, 2020, Somveille et al 2020, Chen et al 2021, Schap et al 2021, Thorup et al 2021), conservation (Beyer and Manica 2021), population genetics (Maisano Delser et al 2021), archaeology (Racimo et al 2020, Betti et al 2020, Beyer et al 2021, Krzyzanska et al 2021, Park and Marwick 2022, Cerasoni et al 2022, Timbrell et al 2022), the evolution of the genus Homo (Will et al 2021, Timmermann et al 2022), anthropology (Leonardi et al 2017, Padilla-Iglesias et al 2021) and linguistics (Beyer et al 2019).…”
The recent development of continuous paleoclimatic reconstructions covering hundreds of thousands of years paved the way for a large number of studies from disciplines ranging from paleoecology to archaeology, conservation to population genetics, and human evolution to linguistics. Unfortunately, (paleo)climatic data can be challenging to extract and analyze for scholars unfamiliar with such specific 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.
“…There have been attempts at solving this problem by comparing effective population size with the potential range of species reconstructed based on climatic data. While there seems to be some level of correlation between the two in some cases (Lorenzen et al 2011), this is not always true (Miller et al 2021).…”
Section: Interpreting Effective Population Sizementioning
The present work describes the basic principles underlying demographic reconstructions from genetic data, and reviews the studies using such methods with respect to the Neolithic Demographic Transition. It is intended as a tool for scholars outside the field of population genetics (e.g., archaeologists, anthropologists, etc.) to better understand the significance and intrinsic limitations of genetic demography, and to help integrate its results within the broader context of the reconstruction of the human past.
“…An increase in the effective population size (N e ) of the mainland European roe deer population is estimated to have occurred between 3,932 and 7,919 years ago (Baker & Hoelzel 2014), possibly reflecting this range expansion as well as increases in the continent-wide roe deer census population size. Although relationships between estimates of N e and census population sizes have been shown to lack consistent correlation (Pierson et al 2008), in natural systems sustained increases in N e generally only occur as the result of a corresponding increase in census population size (Ho & Shapiro 2011, Miller et al 2021). More recently, the reductions of forest cover corresponding to increases in agricultural practices across Europe starting roughly 1,500 years ago led to a dramatic increase in edge habit (Kaplan et al 2009, Fyfe et al 2015, Zanon et al 2018).…”
mentioning
confidence: 99%
“…Although relationships between estimates of Ne and census population sizes have been shown to lack consistent correlation (Pierson et al 2008), in natural systems sustained increases in Ne generally only occur as the result of a corresponding increase in census population size (Ho & Shapiro 2011, Miller et al 2021. More recently, the reductions of forest cover corresponding to increases in agricultural practices across Europe starting roughly 1,500 years ago led to a dramatic increase in edge habit (Kaplan et al 2009, Fyfe et al 2015, Zanon et al 2018).…”
Bacteria species that must obligately replicate in vertebrate host cells make up a large proportion of the prokaryotic pathogens with human and veterinary health implications. In such bacterial taxa, extrinsic processes play an important role in influencing the phylogenetic diversity of viable hosts (‘host range’). These processes include both changes in host population densities and shifts in host geographic distributions. In Europe, distinct genetic strains of the tick-vectored bacterium Anaplasma phagocytophilum circulate among mammals in three discrete enzootic cycles. To date, the factors that contributed to the emergence of these strains have been poorly studied. Here we show that the strain which predominately infects roe deer (Capreolus capreolus) is evolutionarily derived. Its divergence from a likely host-generalist ancestor occurred after the last glacial maximum as mammal populations, including roe deer, recolonized the European mainland from southern refugia. We also provide evidence that this host-specialist strain’s effective population size (Ne) has tracked changes in the population of its roe deer host. Specifically, both host and bacterium appear to have undergone substantial increases in Ne over the past 1,500 years. In contrast, we show that while it appears to have undergone a major population expansion starting ~3,500 years ago, in the past 500 years the contemporary host-generalist strain has experienced a substantial reduction in genetic diversity levels, possible as the result of reduced transmission opportunities between competent hosts.
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