Abstract
Abstract Stratophenetic data document phenotypic changes in a fossil lineage and play a vital role in reconciling contemporary microevolution with long‐term paleontological patterns. However, stratophenetic series represent multiscale geological and biological interactions, defying simple analysis and interpretation. A numerical model is presented that simulates stratophenetic series in shallow marine siliciclastic deposits. The model is driven by predictions of water depth, substrate properties, and sedimentation rate from a high‐resolution sedimentary basin fill model. Species abundance is modeled as a probability density peaked with respect to environmental preferences. The Price equation is used to model phenotypic evolution based on phenotype‐fitness covariance and drift. Preservation is a Poisson process controlled by population size, preservation probability, and sedimentation. Numerical experiments are used to investigate (1) the effects of sampling and depositional architecture on observed patter...
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