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Article
Philipp Kirschner
University of Innsbruck
Corresponding Author
ORCiD: https://orcid.org/0000-0002-9263-5112
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Quaternary climatic oscillations had a large impact on European biogeography. Alternation of cold and warm stages caused recurrent glaciations, massive vegetation shifts and large-scale range alterations in many species. The Eurasian steppe biome and its grasslands are a noteworthy example; they underwent climate-driven, large-scale contractions during warm stages and expansions during cold stages. Here, we evaluate the impact of these range alterations on the late Quaternary demography of phylogenetically unrelated plant and insect species, typical of the Eurasian steppes. We contrast three explicit demographic hypotheses by applying a novel approach combining Convolutional Neural Networks with Approximate Bayesian Computation. We identified congruent demographic responses of cold stage expansions and warm stage contractions across all species, but also species-specific effects. The demographic history of Eurasian steppe biota reflects major paleoecological turning points of the late Quaternary, and emphasizes the role of the climate as a driving force behind patterns of genetic variance.
Keywords
Recurrent Glaciations, Vegetation Shifts, Range Alterations, Approximate Bayesian Computation, Genetic Variance
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There is NO Competing Interest.
This is a list of supplementary files associated with this preprint. Click to download.
- SupplementaryInformationKirschnerPerezetal.pdf
Supplementary Information
- Supplementarydata1.xlsx
Supplementary Data 1
- SupplementaryTable2.xlsx
Supplementary Table 2
- SupplementaryTable4.xlsx
Supplementary Table 4
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This preprint is under consideration at a Nature Portfolio Journal. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Nature journals have partnered with Research Square to offer In Review, a journal-integrated preprint deposition service.
Article
Philipp Kirschner
University of Innsbruck
Corresponding Author
ORCiD: https://orcid.org/0000-0002-9263-5112
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 02 Jun, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Quaternary climatic oscillations had a large impact on European biogeography. Alternation of cold and warm stages caused recurrent glaciations, massive vegetation shifts and large-scale range alterations in many species. The Eurasian steppe biome and its grasslands are a noteworthy example; they underwent climate-driven, large-scale contractions during warm stages and expansions during cold stages. Here, we evaluate the impact of these range alterations on the late Quaternary demography of phylogenetically unrelated plant and insect species, typical of the Eurasian steppes. We contrast three explicit demographic hypotheses by applying a novel approach combining Convolutional Neural Networks with Approximate Bayesian Computation. We identified congruent demographic responses of cold stage expansions and warm stage contractions across all species, but also species-specific effects. The demographic history of Eurasian steppe biota reflects major paleoecological turning points of the late Quaternary, and emphasizes the role of the climate as a driving force behind patterns of genetic variance.
Figure 1
Figure 2
Figure 3
There is NO Competing Interest.
This is a list of supplementary files associated with this preprint. Click to download.
- SupplementaryInformationKirschnerPerezetal.pdf
Supplementary Information
- Supplementarydata1.xlsx
Supplementary Data 1
- SupplementaryTable2.xlsx
Supplementary Table 2
- SupplementaryTable4.xlsx
Supplementary Table 4
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