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Long-Term Cycles in the History of Life: Periodic Biodiversity in the Paleobiology Database

Overview of attention for article published in PLOS ONE, December 2008
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Title
Long-Term Cycles in the History of Life: Periodic Biodiversity in the Paleobiology Database
Published in
PLOS ONE, December 2008
DOI 10.1371/journal.pone.0004044
Pubmed ID
Authors

Adrian L. Melott

Abstract

Time series analysis of fossil biodiversity of marine invertebrates in the Paleobiology Database (PBDB) shows a significant periodicity at approximately 63 My, in agreement with previous analyses based on the Sepkoski database. I discuss how this result did not appear in a previous analysis of the PBDB. The existence of the 63 My periodicity, despite very different treatment of systematic error in both PBDB and Sepkoski databases strongly argues for consideration of its reality in the fossil record. Cross-spectral analysis of the two datasets finds that a 62 My periodicity coincides in phase by 1.6 My, equivalent to better than the errors in either measurement. Consequently, the two data sets not only contain the same strong periodicity, but its peaks and valleys closely correspond in time. Two other spectral peaks appear in the PBDB analysis, but appear to be artifacts associated with detrending and with the increased interval length. Sampling-standardization procedures implemented by the PBDB collaboration suggest that the signal is not an artifact of sampling bias. Further work should focus on finding the cause of the 62 My periodicity.

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Geographical breakdown

Country Count As %
United States 5 8%
Argentina 4 6%
Sweden 1 2%
Czechia 1 2%
Mexico 1 2%
Germany 1 2%
Belgium 1 2%
United Kingdom 1 2%
Unknown 48 76%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 32%
Student > Ph. D. Student 10 16%
Student > Doctoral Student 5 8%
Student > Bachelor 5 8%
Professor 5 8%
Other 14 22%
Unknown 4 6%
Readers by discipline Count As %
Earth and Planetary Sciences 28 44%
Agricultural and Biological Sciences 20 32%
Environmental Science 4 6%
Physics and Astronomy 3 5%
Chemical Engineering 1 2%
Other 2 3%
Unknown 5 8%