University of Lincoln
Browse

Globally disruptive events show predictable timing patterns

Version 2 2024-03-12, 15:38
Version 1 2023-10-19, 11:25
journal contribution
posted on 2024-03-12, 15:38 authored by Michael Gillman, Hilary E. Erenler
<p>Globally disruptive events include asteroid/comet impacts, large igneous provinces and glaciations, all of which have been considered as contributors to mass extinctions. Understanding the overall relationship between the timings of the largest extinctions and their potential proximal causes remains one of science's great unsolved mysteries. Cycles of about 60 Myr in both fossil diversity and environmental data suggest external drivers such as the passage of the Solar System through the galactic plane. While cyclic phenomena are recognized statistically, a lack of coherent mechanisms and a failure to link key events has hampered wider acceptance of multi-million year periodicity and its relevance to earth science and evolution. The generation of a robust predictive model of timings, with a clear plausible primary mechanism, would signal a paradigm shift. Here, we present a model of the timings of globally disruptive events and a possible explanation of their ultimate cause. The proposed model is a symmetrical pattern of 63 Myr sequences around a central value, interpreted as the occurrence of events along, and parallel to, the galactic midplane. The symmetry is consistent with multiple dark matter disks, aligned parallel to the midplane. One implication of the precise pattern of timings and the underlying physical model is the ability to predict future events, such as a major extinction in 1–2 Myr.</p>

History

School affiliated with

  • Department of Life Sciences (Research Outputs)

Publication Title

International Journal of Astrobiology

Volume

16

Issue

1

Pages/Article Number

91-96

Publisher

Cambridge University Press (CUP)

ISSN

1473-5504

eISSN

1475-3006

Date Submitted

2017-08-11

Date Accepted

2016-01-28

Date of First Publication

2016-03-17

Date of Final Publication

2016-03-17

ePrints ID

28287

Usage metrics

    University of Lincoln (Research Outputs)

    Keywords

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC