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Problems of Datums Diachronism and Comparison Between UAgraph and the Program Conop

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Discrete Biochronological Time Scales

Abstract

A very challenging quantitative biochronological problem integrating comprehensive diatom biostratigraphy, magnetostratigraphy, and tephrostratigraphy from 32 Neogene sections around the Southern Ocean and Antarctic continental margin has been recently studied by Cody et al. (Palaeogeogr Palaeoclimatol Palaeoecol 260:92–121, 2008). A new method, known as Constrained Optimization (Conop), which can be viewed as a multidimensional version of graphic correlation, is applied to that complex database. In this chapter we will review some discussions of a paper by Galster et al. (Palaeogeogr Palaeoclimatol Palaeoecol 285:237–247, 2010) concerning Conop and focus our analysis on the large scale correlations based on Cody’s data and the implication of the diachronism of “datums” in the quantitative treatment of biostratigraphic data.

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References

  • Baumgartner, P. O. (1984). Comparison of Unitary Association and Probabilistic Ranking and Scaling as applied to Mesozoic Radiolarians. Computers and Geoscience, 10(1), 167–183.

    Article  Google Scholar 

  • Boulard, C. (1993). Biochronologie quantitative, concepts, methods et validité. Docum. Lab. Géol. Lyon., 128, 1–259.

    Google Scholar 

  • Cody, R. D., Levy, R. H., Harwood, D. M., & Sadler, P. M. (2008). Thinking outside the zone High-resolution quantitative diatom biochronology for the Antarctic Neogene. Palaeogeography, Palaeoclimatology, Palaeoecology, 260, 92–121.

    Article  Google Scholar 

  • Edwards, L. E. (1978). Range chart and no-space graphs. Computers and Geoscience, 4(3), 247–255.

    Google Scholar 

  • Fåhreus, L. E. (1986). Spectres of biostratigraphic resolution and precision. Rock accumulation rates, processes of speciation and paleoecological constraints. Newsletters on Stratigraphy, 15(3), 150–162.

    Google Scholar 

  • Galster, F., Guex, J., & Hammer, Ø. (2010). Neogene biochronology of Antarctic diatoms: A comparison between two quantitative approaches, CONOP and UAgraph. Palaeogeography, Palaeoclimatology, Palaeoecology, 285, 237–247.

    Article  Google Scholar 

  • Gradstein, F. M., Ogg, J. G., Schmitz, M., & Ogg, G. (2012). The geologic time scale 2012 (Vol. 2). Amsterdam: Elsevier. ISBN 9780444594259.

    Google Scholar 

  • Guex, J. (1977). Une nouvelle méthode d’analyse biochronologique. Bulletin de la Société Vaudoise des Sciences Naturelles, 224, 309–322.

    Google Scholar 

  • Guex, J. (1979). Terminologie et méthodes de la biostratigraphie moderne. Bull. Géol. Lausanne., 234, 169–216.

    Google Scholar 

  • Guex, J. (1991). Biochronological correlations. Berlin: Springer. 250 p.

    Book  Google Scholar 

  • Kemple, W. G., Sadler, P. M., & Strauss, D. J. (1995). Extending graphic correlation to many dimensions stratigraphic correlation as constrained optimization. In K. O. Mann & H. R. Lane (Eds.), Graphic correlation (pp. 65–82). SEPM Sp. Pap. 53.

    Google Scholar 

  • Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983). Optimization by simulated annealing. Science, 220, 671–689.

    Article  Google Scholar 

  • Mamet, B. (1977). Foraminiferal zonation in the Lower Carboniferous. Methods and stratigraphic implications. In E.G. Kauffman & J.E. Hazel (Eds.), Concepts and methods of biostratigraphy (445–462). Dowden, Stroudsburg, Pennsylvania: Hutchinson and Ross Inc.

    Google Scholar 

  • Sadler, P. M. (2002). A users’ guide and reference manual to the Conop program family (Version 6.3). Riverside: Department of Earth Sciences, University of California.

    Google Scholar 

  • Sadler, P. M. (2006). Constrained optimization approaches to the paleobiologic correlation and seriation problems: Part 1 (A Users Guide to the CONOP Program Family) and Part 2 (A Reference Manual to the Conop Program Family).

    Google Scholar 

  • Sadler, P. M., & Cooper, R. A. (2003). Best-fit intervals and consensus sequences. In P. J. Harries (Ed.), Approaches in high-resolution stratigraphic paleontology (pp. 49–94). Netherlands: Kluwer Academic Publishers.

    Google Scholar 

  • Sadler P. M., Cooper R. A., & Melchin, M. (2009). High-resolution, early Paleozoic (Ordovician–Silurian) time scales. Geological Society of America Bulletin, 121, 887–906. doi:10.1130/B26357.

  • Shaw, A. B. (1964). Time in stratigraphy. New York: McGraw Hill. 365 p.

    Google Scholar 

  • Siesser, W. G. (1984). Paleogene sea level and climates USA eastern Gulf coastal plain. Palaeogeography, Palaeoclimatology, Palaeoecology, 47, 261–275.

    Article  Google Scholar 

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Correspondence to Jean Guex .

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Guex, J., Galster, F., Hammer, Ø. (2016). Problems of Datums Diachronism and Comparison Between UAgraph and the Program Conop. In: Discrete Biochronological Time Scales. Springer, Cham. https://doi.org/10.1007/978-3-319-21326-2_6

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