T16 Piecing Together the Extinction Puzzle I: Integrated Approaches to Quantifying Organism-Environment Interactions

Sunday, 22 September 2024
8:00 AM - 12:00 PM
204C

HORSE: A NEW QUANTITATIVE STRATIGRAPHIC METHOD THAT HARMONIZES REGIONAL AND GLOBAL STRATIGRAPHIC RECORDS FOR GEOLOGICAL TIMESCALE AND EVOLUTIONARY STUDY

Paper number: T16-9
Program: Technical Sessions
Time: 10:05 AM – 10:20 AM

Authors

  • Tianyi Chu Presenting Author
    School of Earth Sciences and Engineering, Nanjing, Jiangsu
  • Hanhui Huang
    Department of Earth Sciences, Oxford, Oxfordshire
  • Junxuan Fan
    School of Earth Sciences and Engineering, Nanjing, Jiangsu

Abstract

A uniform and high-resolution geologic timescale is essential for discovering macroevolutionary patterns and their drivers on regional and global scales. The discipline of quantitative stratigraphy combines stratigraphy, statistics, and computer science to bring stratigraphic records into an optimized timescale model that allows them to be correlated. Graphic Correlation (GC) and Constrained Optimization (CONOP), both of which sequence geologic events, can generate a global composite that includes all events and minimizes inconsistencies among those records. On the other hand, Horizon Annealing (HA) follows to the principles of GC and CONOP, but attempts to sequence stratigraphic "horizons" while preserving local details. Here we report on the HORizon SEquencing (HORSE) method, which generalizes the idea of HA with an implementation of parallel computing and genetic algorithms, enabling its application to massive data. For empirical assessment, we employ three datasets of different scales. Among the four methods, HORSE greatly outperforms HA in computation efficiency and shows remarkable similarities to CONOP in terms of global event sequencing, while preserving the sophisticated local information (e.g., local first appearance and last appearance of taxon) for paleobiogeographic and paleoecological studies, which is beyond the capabilities of CONOP.

Geological Society of America Abstracts with Programs. Vol. 56, No. 5

doi: 10.1130/abs/2024AM-403710

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