admtools
Estimate age-depth models in geology and use them to transform various types of data (fossil ages, phylogenetic trees, trait evolution of lineages) between the time domain and the stratigraphic domain.
Quantifying the completeness of the stratigraphic record and its role in reconstructing the tempo and mode of evolution
Paleontological and geological evidence played an important role in establishing Charles Darwin’s theory of evolution. However, apparent gaps in the geological record cast doubt on the use of fossils to reconstruct evolutionary history and the idea that all organisms have descended by minute and gradual modifications from a common ancestor. The EU-funded MindTheGap project will use numerical forward modelling, a technique borrowed from sedimentary basin analysis, to quantify how stratigraphic gaps affect evolutionary patterns in the fossil record. Focus will be placed on tropical carbonate platforms. Being the richest biodiversity archive and directly formed by organisms, they preserve the link between the environment, evolution and sediment formation.
Darwin identified the incompleteness of the geological record as a major concern in our ability to reconstruct the evolutionary history from fossils. Geological strata are not, however, a random selection of the past, but are deposited and preserved in processes which can be modelled mathematically. This project employs numerical forward modelling, a technique from sedimentary basin analysis, to quantify how stratigraphic gaps affect evolutionary patterns in the fossil record. It focuses on tropical carbonate platforms, because they are the richest archive of biodiversity through the Phanerozoic and are directly formed by organisms, thus preserving a positive feedback loop between the environment, evolution, and sediment formation. Completeness of the record depends on the time scale of measurement. Previous work demonstrated that long gaps in the record, in the range of 106-107 years, are reflected in biodiversity reconstructions. Here we address shorter gaps (103-105 years), which are more frequent, but harder to detect. They can be predicted using models of stochastic sedimentation, astronomical forcing, and sedimentary and diagenetic self-organization. Forward modelling will be used to simulate the effect of gaps in the record produced by each of these processes on diversity and character evolution. This will allow us to answer the questions: What part of diversity do we miss owing to the missing rock record? Are the preserved intervals exceptional or representative? Is there a systematic part of biodiversity and environmental records which will always fall into gaps? By applying the findings of the forward modelling to fossil successions, we will be able to identify and correct for the missing parts of the record and formulate testable hypotheses on the original tempo and mode of evolution at the highest temporal resolution achievable in the geological record.
This project has been funded by European Research Council (ERC) under Grant agreement ID 101041077.
Turing or Milankovitch? Are sedimentary rhythms self-organized or astronomically forced?
Estimate age-depth models in geology and use them to transform various types of data (fossil ages, phylogenetic trees, trait evolution of lineages) between the time domain and the stratigraphic domain.
R package for modeling pipelines in stratigraphic paleobiology