STAMP | Spatiotemporal Analytical Modelling for Paleobiology

Summary
Radical changes in the Earth’s biome as a consequence of climate change will fundamentally affect human society and its relation to the natural world. How can we best model species dynamics, to make predictions for the future? What are the main drivers underlying these dynamics, and how are these changing as we enter the Anthropocene? A great compass for biotic changes we will see in coming decades is the study of changes the Earth has experienced before – from alterations in the distribution of terrestrial and marine mammals, to the dynamic changes in the range and connectivity of forests. There is now a wealth of historic and prehistoric records documenting these processes, including pollen and fossil records, ancient genomes and sedimentary DNA. Here, I propose a research programme called Spatiotemporal Analytical Modelling for Paleobiology (STAMP) to link these disparate types of paleobiological records with the methodological tools of spatiotemporal process analysis. I will focus on three empirical research areas: 1) reconstruction of megafauna species ranges across the late Pleistocene and Holocene; 2) reconstruction of boreal paleo-forest dynamics; 3) study of the historical resilience and mobility of arctic marine mammals. These empirical projects will be supported by two computational approaches to inference: one based on descriptive spatiotemporal modelling, and another based on dynamic simulation-based inference. STAMP will produce a new conceptual paradigm for thinking about paleobiological data and create a statistical methodology that will be widely applicable to palaeontologists, geneticists, paleo-botanists and ecologists worldwide. Ultimately, it will empower the next generation of paleo-scientists with powerful tools to use the living past as a spatial roadmap into the future.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101077592
Start date: 01-07-2023
End date: 30-06-2028
Total budget - Public funding: 1 498 735,00 Euro - 1 498 735,00 Euro
Cordis data

Original description

Radical changes in the Earth’s biome as a consequence of climate change will fundamentally affect human society and its relation to the natural world. How can we best model species dynamics, to make predictions for the future? What are the main drivers underlying these dynamics, and how are these changing as we enter the Anthropocene? A great compass for biotic changes we will see in coming decades is the study of changes the Earth has experienced before – from alterations in the distribution of terrestrial and marine mammals, to the dynamic changes in the range and connectivity of forests. There is now a wealth of historic and prehistoric records documenting these processes, including pollen and fossil records, ancient genomes and sedimentary DNA. Here, I propose a research programme called Spatiotemporal Analytical Modelling for Paleobiology (STAMP) to link these disparate types of paleobiological records with the methodological tools of spatiotemporal process analysis. I will focus on three empirical research areas: 1) reconstruction of megafauna species ranges across the late Pleistocene and Holocene; 2) reconstruction of boreal paleo-forest dynamics; 3) study of the historical resilience and mobility of arctic marine mammals. These empirical projects will be supported by two computational approaches to inference: one based on descriptive spatiotemporal modelling, and another based on dynamic simulation-based inference. STAMP will produce a new conceptual paradigm for thinking about paleobiological data and create a statistical methodology that will be widely applicable to palaeontologists, geneticists, paleo-botanists and ecologists worldwide. Ultimately, it will empower the next generation of paleo-scientists with powerful tools to use the living past as a spatial roadmap into the future.

Status

SIGNED

Call topic

ERC-2022-STG

Update Date

31-07-2023
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Horizon Europe
HORIZON.1 Excellent Science
HORIZON.1.1 European Research Council (ERC)
HORIZON.1.1.0 Cross-cutting call topics
ERC-2022-STG ERC STARTING GRANTS
HORIZON.1.1.1 Frontier science
ERC-2022-STG ERC STARTING GRANTS