Hostname: page-component-78c5997874-j824f Total loading time: 0 Render date: 2024-11-20T00:07:10.676Z Has data issue: false hasContentIssue false
  • English
  • Français

Pulsed origination and extinction in the marine realm

Published online by Cambridge University Press:  08 April 2016

Michael Foote
Michael Foote*
Affiliation:
Department of the Geophysical Sciences, University of Chicago, Chicago, Illinois 60637. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

The pattern of variation in taxonomic turnover on short timescales is expected to leave detectable signals even when taxonomic data are compiled at coarser timescales. Global, stage-level data on first and last appearances of marine animal genera are analyzed to determine whether it is more likely that origination and extinction were spread throughout stages or that they were concentrated at a single episode per stage. The analysis takes incomplete and variable sampling of stratigraphic ranges into consideration, and it takes advantage of the fact that empirical sampling rates are within the range of values that allow the within-stage turnover models to be distinguished on the basis of stage-level data. The data strongly support the model of a single extinction pulse per stage over the alternative of continuous extinction within the stage. Pulsed origination is also supported over continuous origination, but the case is not as compelling as for extinction. Differential support for pulsed turnover is not confined to a few stages. Pulsed turnover therefore appears to be a general feature of the evolution of marine animals.

Type
Articles
Information
Paleobiology , Volume 31 , Issue 1 , Winter 2005 , pp. 6 - 20
Copyright
Copyright © The Paleontological Society 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Literature Cited

Akaike, H. 1973. Information theory and an extension of the maximum likelihood principle. Pp 267–281in Petrov, B. N. and Csáki, F., eds. Second international symposium on information theory. Akadémiai Kiadó, Budapest.Google Scholar
Baumiller, T. K. 1996. Exploring the pattern of coordinated stasis: simulations and extinction scenarios. Palaeogeography, Palaeoclimatology, Palaeoecology 127:135–146.Google Scholar
Behrensmeyer, A. K., Todd, N. E., Potts, R., and McBrinn, G. E. 1997. Late Pliocene faunal turnover in the Turkana Basin, Kenya and Ethiopia. Science 278:1589–1594.Google Scholar
Bowring, S. A., Erwin, D. H., Jin, Y. G., Martin, M. W., Davidek, D., and Wang, W. 1998. U/Pb zircon geochronology and tempo of the end-Permian mass extinction. Science 280:1039–1043.Google Scholar
Brett, C. E., and Baird, G. C. 1995. Coordinated stasis and evolutionary ecology of Silurian to Middle Devonian faunas in the Appalachian Basin. Pp. 285–315in Erwin, D. H. and Anstey, R. L., eds. New approaches to speciation in the fossil record. Columbia University Press, New York.Google Scholar
Burnham, K. P., and Anderson, D. R. 1998. Model selection and inference: a practical information-theoretic approach. Springer, New York.Google Scholar
Byrd, R. H., Lu, P., Nocedal, J., and Zhu, C. 1995. A limited memory algorithm for bound constrained optimization. SIAM Journal on Scientific Computing 16:1190–1208.Google Scholar
Connolly, S. R., and Miller, A. I. 2001a. Joint estimation of sampling and turnover rates from fossil databases: capture-mark-recapture methods revisited. Paleobiology 27:751–767.2.0.CO;2>CrossRefGoogle Scholar
Connolly, S. R., and Miller, A. I. 2001b. Global Ordovician faunal transitions in the marine benthos: proximate causes. Paleobiology 27:779–795.2.0.CO;2>CrossRefGoogle Scholar
Connolly, S. R., and Miller, A. I. 2002. Global Ordovician faunal transitions in the marine benthos: ultimate causes. Paleobiology 28:26–40.2.0.CO;2>CrossRefGoogle Scholar
Conroy, M. J., and Nichols, J. D. 1984. Testing for variation in taxonomic extinction probabilities: a suggested methodology and some results. Paleobiology 10:328–337.CrossRefGoogle Scholar
Cooper, R. A., Crampton, J. S., Raine, J. I., Gradstein, F. M., Morgans, H. E. G., Sadler, P. M., Strong, C. P., Waghorn, D., and Wilson, G. J. 2001. Quantitative biostratigraphy of the Taranaki Basin, New Zealand: a deterministic and probabilistic approach. AAPG Bulletin 85:1469–1498.Google Scholar
Dowsett, H. J. 1989. Application of the graphic correlation method to Pliocene marine sequences. Marine Micropaleontology 14:3–32.Google Scholar
Elder, W. P. 1989. Molluscan extinction patterns across the Cenomanian-Turonian stage boundary in the Western Interior of the United States. Paleobiology 15:299–320.Google Scholar
Foote, M. 1988. Survivorship analysis of Cambrian and Ordovician trilobites. Paleobiology 14:258–271.CrossRefGoogle Scholar
Foote, M. 2001. Inferring temporal patterns of preservation, origination, and extinction from taxonomic survivorship analysis. Paleobiology 27:602–630.Google Scholar
Foote, M. 2003a. Origination and extinction through the Phanerozoic: a new approach. Journal of Geology 111:125–148.CrossRefGoogle Scholar
Foote, M. 2003b. Erratum. Journal of Geology 111:752–753.Google Scholar
Gilinsky, N. L., and Bambach, R. K. 1987. Asymmetrical patterns of origination and extinction in higher taxa. Paleobiology 13:427–445.Google Scholar
Hallam, A., and Wignall, P. B. 1999. Mass extinctions and sea-level changes. Earth-Science Reviews 48:217–250.Google Scholar
Hayek, L. C., and Bura, E. 2001. On the ends of the taxon range problem. Pp. 221–244in Jackson, J. B. C., Lidgard, S., and McKinney, F. K., eds. Evolutionary patterns: growth, form, and tempo in the fossil record. University of Chicago Press, Chicago.Google Scholar
Holland, S. M. 1995. The stratigraphic distribution of fossils. Paleobiology 21:92–109.CrossRefGoogle Scholar
Holland, S. M. 1996. Recognizing artifactually generated coordinated stasis: implications of numerical models and strategies for field tests. Palaeogeography, Palaeoclimatology, Palaeoecology 127:147–156.Google Scholar
Holland, S. M. 2000. The quality of the fossil record: a sequence-stratigraphic perspective. In Erwin, D. H. and Wing, S. L., eds. Deep time: Paleobiology's perspective. Paleobiology 26(Suppl. to No. 4):148–168.Google Scholar
Holland, S. M. 2003. Confidence limits on fossil ranges that account for facies changes. Paleobiology 29:468–479.Google Scholar
Hurvich, C. M., and Tsai, C.-L. 1989. Regression and time series model selection in small samples. Biometrika 76:297–307.Google Scholar
Ihaka, R., and Gentleman, R. 1996. R: a language for data analysis and graphics. Journal of Computational and Graphical Statistics 5:299–314.Google Scholar
Jackson, J. B. C., and Johnson, K. G. 2000. Life in the last few million years. In Erwin, D. H. and Wing, S. L., eds. Deep time: Paleobiology's perspective. Paleobiology 26(Suppl. to No. 4):221–235.Google Scholar
Jin, Y. G., Wang, Y., Wang, W., Shang, Q. H., Cao, C. Q., and Erwin, D. H. 2000. Pattern of marine mass extinction near the Permian-Triassic boundary in south China. Science 289:432–436.CrossRefGoogle ScholarPubMed
Kemple, W. G., Sadler, P. M., and Strauss, D. J. 1995. Extending graphic correlation to many dimensions: stratigraphic correlation as constrained optimization. In Mann, K. O. and Lane, H. R., eds. Graphic correlation. SEPM Special Publication 53:65–82. SEPM, Tulsa, Okla.Google Scholar
Kidwell, S. M., and Holland, S. M. 2002. The quality of the fossil record: implications for evolutionary analyses. Annual Review of Ecology and Systematics 33:561–588.Google Scholar
Mann, K. O., and Lane, H. R., eds. 1995. Graphic correlation. SEPM Special Publication 53. SEPM, Tulsa, Okla.Google Scholar
Marshall, C. R. 1997. Confidence intervals on stratigraphic ranges with nonrandom distributions of fossil horizons. Paleobiology 23:165–173.Google Scholar
Marshall, C. R., and Ward, P. D. 1996. Sudden and gradual molluscan extinctions in the latest Cretaceous of western European Tethys. Science 274:1360–1363.Google Scholar
Miller, A. I. 1998. Biotic transitions in global marine diversity. Science 281:1157–1160.Google Scholar
Newell, N. D. 1967. Revolutions in the history of life. Geological Society of America Special Paper 89:63–91.Google Scholar
Newman, M. E. J., and Palmer, R. G. 2003. Modeling extinction. Oxford University Press, Oxford.Google Scholar
Nichols, J. D., and Pollock, K. H. 1983. Estimating taxonomic diversity, extinction rates, and speciation rates from fossil data using capture-recapture models. Paleobiology 9:150–163.CrossRefGoogle Scholar
Peters, S. E., and Foote, M. 2002. Determinants of extinction in the fossil record. Nature 416:420–424.Google Scholar
Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P. 1992. Numerical recipes in C, 2d ed.Cambridge University Press, Cambridge.Google Scholar
Raup, D. M. 1979. Biases in the fossil record of species and genera. Bulletin of the Carnegie Museum of Natural History 13:85–91.Google Scholar
Raup, D. M. 1989. The case for extraterrestrial causes of extinction. Philosophical Transactions of the Royal Society of London B 325:421–431.Google Scholar
Raup, D. M. 1991. A kill curve for Phanerozoic marine species. Paleobiology 17:37–48.CrossRefGoogle ScholarPubMed
Raup, D. M. 1996. Extinction models. Pp. 419–433in Jablonski, D., Erwin, D. H., and Lipps, J. H., eds. Evolutionary paleobiology. University of Chicago Press, Chicago.Google Scholar
Raup, D. M., and Boyajian, G. E. 1988. Patterns of generic extinction in the fossil record. Paleobiology 14:109–125.Google Scholar
Raup, D. M., and Sepkoski, J. J. Jr. 1982. Mass extinctions in the marine fossil record. Science 215:1501–1503.Google Scholar
Raup, D. M., and Sepkoski, J. J. Jr. 1984. Periodicity of extinctions in the geologic past. Proceedings of the National Academy of Sciences USA 81:801–805.Google Scholar
Sadler, P. M., and Cooper, R. A. 2003. Best-fit intervals and consensus sequences: comparison of the resolving power of traditional biostratigraphy and computer-assisted correlation. Pp. 49–94in Harries, P. J., ed. High-resolution approaches in stratigraphic paleontology. Kluwer, Dordrecht, The Netherlands.Google Scholar
Sepkoski, J. J. Jr. 1998. Rates of speciation in the fossil record. Philosophical Transactions of the Royal Society of London B 353:315–326.CrossRefGoogle ScholarPubMed
Sepkoski, J. J. Jr. 2002. A compendium of fossil marine animal genera. Bulletins of American Paleontology 363:1–560.Google Scholar
Smith, A. B., Gale, A. S., and Monks, N. E. A. 2001. Sea-level change and rock-record bias in the Cretaceous: a problem for extinction and biodiversity studies. Paleobiology 27:241–253.2.0.CO;2>CrossRefGoogle Scholar
Strauss, D., and Sadler, P. M. 1989. Classical confidence intervals and Bayesian probability estimates for ends of local taxon ranges. Mathematical Geology 21:411–427.CrossRefGoogle Scholar
Van Valen, L. M. 1984. A resetting of Phanerozoic community evolution. Nature 307:50–52.Google Scholar
Vrba, E. S. 1985. Environment and evolution: alternative causes of the temporal distribution of evolutionary events. South African Journal of Science 81:229–236.Google Scholar
Wang, S. C. 2003. On the continuity of background and mass extinction. Paleobiology 29:455–467.Google Scholar