Skip to main content

Advertisement

Log in

Delayed biological recovery from extinctions throughout the fossil record

  • Letter
  • Published:

From Nature

View current issue Submit your manuscript

Abstract

How quickly does biodiversity rebound after extinctions? Palaeobiologists have examined the temporal, taxonomic and geographic patterns of recovery following individual mass extinctions in detail1,2,3,4,5, but have not analysed recoveries from extinctions throughout the fossil record as a whole. Here, we measure how fast biodiversity rebounds after extinctions in general, rather than after individual mass extinctions, by calculating the cross-correlation between extinction and origination rates across the entire Phanerozoic marine fossil record. Our results show that extinction rates are not significantly correlated with contemporaneous origination rates, but instead are correlated with origination rates roughly 10 million years later. This lagged correlation persists when we remove the ‘Big Five’ major mass extinctions, indicating that recovery times following mass extinctions and background extinctions are similar. Our results suggest that there are intrinsic limits to how quickly global biodiversity can recover after extinction events, regardless of their magnitude. They also imply that today's anthropogenic extinctions will diminish biodiversity for millions of years to come.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1: The fossil record of marine animal biodiversity.
Figure 2: Cross-correlation between extinctions and originations.
Figure 3: Effect of incomplete sampling.

Similar content being viewed by others

References

  1. Hallam, A. Why was there a delayed radiation after the end-Palaeozoic extinctions? Hist. Biol. 5, 257–262 ( 1991).

    Article  Google Scholar 

  2. Jablonski, D. Geographic variation in the molluscan recovery from the end-Cretaceous extinction. Science 279, 1327–1330 (1998).

    Article  ADS  CAS  Google Scholar 

  3. Jablonski, D. in Extinction Rates (eds Lawton, J. H. & May, R. M.) 25– 44 (Oxford Univ. Press, New York, 1995).

    Google Scholar 

  4. Erwin, D. H. The end and the beginning: recoveries from mass extinctions. Trends Ecol. Evol. 13, 344–349 (1998).

    Article  CAS  Google Scholar 

  5. Sepkoski, J. J. Jr Rates of speciation in the fossil record. Phil. Trans. R. Soc. Lond. B 353, 315– 326 (1998).

    Article  Google Scholar 

  6. Walliser, O. H. in Global Events and Event Stratigraphy in the Phanerozoic (ed. Walliser, O. H.) 7–19 (Springer, Berlin, 1996).

    Google Scholar 

  7. Kirchner, J. W. & Weil, A. No fractals in fossil extinction statistics. Nature 395, 337– 338 (1998).

    Article  ADS  CAS  Google Scholar 

  8. Schulz, M. & Stattegger, K. SPECTRUM: Spectral analysis of unevenly spaced paleoclimatic time series. Comput. Geosci. 23, 929–945 (1997).

    Article  ADS  Google Scholar 

  9. Agterberg, F. P. in Geostatistics (ed. Merriam, D. F.) 113– 141 (Plenum, New York, 1970).

    Book  Google Scholar 

  10. Bracewell, R. N. The Fourier Transform and its Applications 3rd edn (McGraw Hill, Boston, 2000).

    MATH  Google Scholar 

  11. Scargle, J. D. Studies in astronomical time series analysis. III. Fourier transforms, autocorrelation functions, and cross-correlation functions of unevenly spaced data. Astrophys. J. 343, 874–887 (1989).

    Article  ADS  Google Scholar 

  12. Lomb, N. R. Least-squares frequency analysis of unequally spaced data. Astrophys. Space Sci. 29, 447–462 ( 1976).

    Article  ADS  Google Scholar 

  13. Press, W. H. & Teukolsky, S. A. Search algorithm for weak periodic signals in unevenly spaced data. Comput. Phys. 2, 77–82 (1988).

    Article  ADS  Google Scholar 

  14. Scargle, J. D. Studies in astronomical time series analysis. II. Statistical aspects of spectral analysis of unevenly spaced data. Astrophys. J. 263 , 835–853 (1982).

    Article  ADS  Google Scholar 

  15. Sepkoski, J. J. Jr in Global Events and Event Stratigraphy in the Phanerozoic (ed. Walliser, O. H.) 35–51 (Springer, Berlin, 1996).

    Google Scholar 

  16. Sepkoski, J. J. Jr Ten years in the library: new data confirm paleontological patterns. Paleobiology 19, 43– 51 (1993).

    Article  Google Scholar 

  17. Signor, P. W. & Lipps, J. H. Sampling bias, gradual extinction patterns, and catastrophes in the fossil record. Geol. Soc. Am. Special Paper 190, 291–296 (1982).

    Article  Google Scholar 

  18. Gilinsky, N. L. in Analytical Paleobiology (eds Gilinsky, N. L. & Signor, P. W.) 157–174 (The Paleontological Society, Knoxville, Tennessee, 1991).

    Google Scholar 

  19. Cleveland, W. S. & McGill, R. The many faces of a scatterplot. J. Am. Stat. Assoc. 79, 807–822 (1984).

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

We are indebted to the late J. Sepkoski for his fossil databases and his encouragement, and we thank M. Foote and D. Erwin for comments on the manuscript. Our work was supported by grants from the University of California and the NSF to J.W.K.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to James W. Kirchner.

Supplementary Information

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kirchner, J., Weil, A. Delayed biological recovery from extinctions throughout the fossil record . Nature 404, 177–180 (2000). https://doi.org/10.1038/35004564

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1038/35004564

  • Springer Nature Limited

This article is cited by

Navigation