Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-x5gtn Total loading time: 0 Render date: 2024-05-05T22:45:06.654Z Has data issue: false hasContentIssue false

10 - Data and tools for geologic timelines and timescales

from Part IV - Knowledge management and data integration

Published online by Cambridge University Press:  25 October 2011

Peter M. Sadler
Affiliation:
University of California
Cinzia Cervato
Affiliation:
Iowa State University
G. Randy Keller
Affiliation:
University of Oklahoma
Chaitanya Baru
Affiliation:
University of California, San Diego
Get access

Summary

Introduction

Geologic timescales provide the vocabulary for geologic correlation, bring organization to the discussion of diverse processes and events, and enable the assembly of geologic history with global scope. Since the early attempts to calibrate a geologic timescale (Holmes, 1947; 1960), new stratigraphic techniques and radioisotopic systems have been brought to bear on the task; the volume of relevant information has increased dramatically; and the most recently published calibrations attempt finer resolution and explicit estimates of uncertainty (Gradstein et al., 2004). These trends have encouraged the use of statistical tools and custom databases that assemble local timelines of events and numerical ages, using the stratal thickness scales of measured sections and drill cores. These are the initial field and laboratory products that precede correlation, calibration, and statistical manipulations. Combining the local timelines into regional and global composites is a hard intellectual challenge. The named divisions of the geologic timescale are a much simpler conventional overlay upon these temporally integrated datasets. The application of state-of-the-art information technology and the optimization tools of operations research to large time-stratigraphic datasets introduces the possibility that timelines may be custom-built ‘on the fly’ from specific data queries and the user's choice of correlation algorithms. The print media and the labor of calibration tend to limit the familiar conventional geologic timescales to infrequent update and limited resolving power. This apparently stable nature tends to obscure many of the underlying uncertainties and assumptions of calibration.

Type
Chapter
Information
Geoinformatics
Cyberinfrastructure for the Solid Earth Sciences
, pp. 145 - 165
Publisher: Cambridge University Press
Print publication year: 2011

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

Agterberg, F. P. and Gradstein, F. M. (1999). The RASC method for ranking and scaling of biostratigraphic events. Earth-Science Reviews, 46: 1–25.CrossRefGoogle Scholar
Alroy, J. (1992). Conjunction among taxonomic distributions and the Miocene mammalian biochronology of the Great Plains. Paleobiology, 18: 326–343.CrossRefGoogle Scholar
Alroy, J. (1994). Appearance event ordination: A new biochronological method. Paleobiology, 20: 191–217.CrossRefGoogle Scholar
Alroy, J. (2002). How many species names are valid?Proceedings of the National Academy of Sciences, 99(6): 3706–3711.CrossRefGoogle ScholarPubMed
Bohling, G. (2005). CHRONOS Age Depth plot: A Java application for stratigraphic data analysis. Geosphere, 1: 78–84.CrossRefGoogle Scholar
Cooper, R. A., Crampton, J. S., Raine, J. I.et al. (2001). Quantitative biostratigraphy of the Taranaki Basin, New Zealand: A deterministic and probabilistic approach. American Association of Petroleum Geologists Bulletin, 85: 1569–1498.Google Scholar
Dell, R. F., Kemple, W. G., and Tovey, C. A. (1992). Heuristically solving the stratigraphic correlation problem. Proceedings of the First Industrial Engineering Research Conference, 1: 293–297.Google Scholar
Fils, D., Cervato, C., and Reed, J. (2008). CHRONOS architecture: Experiences with an open source services-oriented architecture for geoinformatics. Computers & Geosciences, 35(4): 774–782.CrossRefGoogle Scholar
Gradstein, F. M., Ogg, J. G., and Smith, A. G. (2004). A Geologic Time Scale 2004. Cambridge: Cambridge University Press, 589pp.CrossRefGoogle Scholar
Greer, D. S., Bohling, G., Diver, P.et al. (2005). A data infrastructure to support Earth history research. Geological Society of America Annual Meeting, 37: 416.Google Scholar
Guex, J. (1991). Biochronological Correlations. Berlin: Springer Verlag, 252pp.CrossRefGoogle Scholar
Holmes, A. (1947). The construction of a geological time-scale. Transactions of the Geological Society of Glasgow, 21: 117–152.CrossRefGoogle Scholar
Holmes, A. (1960). A revised geological time-scale. Transactions of the Edinburgh Geological Society, 17: 183–216.CrossRefGoogle Scholar
Kowalewski, M. and Bambach, R. K. (2003). The limits of paleontological resolution. In High-Resolution Approaches in Stratigraphic Paleontology, ed. Harries, P. J.. Dordrecht, The Netherlands: Kluwer Academic Publishers, pp. 1–48.Google Scholar
Lazarus, D. B. (1992). Age Depth Plot and Age Maker: Age depth modeling on the Macintosh series of computers. Geobyte, 71: 7–13.Google Scholar
Lazarus, D. B. (1994). The Neptune Project: Developing a large relational database of marine microfossil data on a personal computer. Mathematical Geology, 26: 817–832.CrossRefGoogle Scholar
Marshall, C. R. (1990). Confidence intervals on stratigraphic ranges. Paleobiology, 16: 1–10.CrossRefGoogle Scholar
Sadler, P. M. (2004). Quantitative biostratigraphy: Achieving finer resolution in global correlation. Annual Reviews of Earth and Planetary Science, 32: 187–213.CrossRefGoogle Scholar
Sadler, P. M. (2007). CONOP9 version DEC 7.451. Riverside, CA: University of California.Google Scholar
Sadler, P. M., Kemple, W. G., and Kooser, M. A. (2003). Contents of the compact disc: CONOP9 programs for solving the stratigraphic correlation and seriation problems as constrained optimization. In High-Resolution Approaches in Stratigraphic Paleontology, ed. Harries, P. J.. Dordrecht, The Netherlands: Kluwer Academic Publishers, pp. 461–465.Google Scholar
Shaw, A. (1964). Time in Stratigraphy. New York: McGraw-Hill Book Co., 365pp.Google Scholar
Spencer-Cervato, C. (1999). The Cenozoic deep sea microfossil record: Explorations of the DSDP/ODP sample set using the Neptune database. Palaeontologia Electronica, 2(2), art. 4, 268pp., 2.4 MB. http://palaeoelectronica.org/1999_2/neptune/issue2_99.htm.Google Scholar
Spencer-Cervato, C., Thierstein, H. R., Lazarus, D. B., and Beckmann, J. P. (1994). How synchronous are Neogene marine plankton events?Paleoceanography, 9: 739–763.CrossRefGoogle Scholar
Strauss, D. J. and Sadler, P. M. (1989). Classical confidence intervals and Bayesian posterior probabilities for the ends of local taxon ranges. Mathematical Geology, 21: 411–427.CrossRefGoogle Scholar
Teichert, C. (1956). How many fossil species?Journal of Paleontology, 30: 967–969.Google Scholar
Tipper, J. C. (1988). Techniques for quantitative stratigraphic correlations: A review and annotated bibliography. Geological Magazine, 125: 475–494.CrossRefGoogle Scholar
Valentine, J. W. (1970). How many marine invertebrate fossil species?A New Approximation. Journal of Paleontology, 44: 410–415.Google Scholar
Wieczorek, J. (2007). The design and purpose of Darwin core, http://wiki.tdwg.org/twiki/bin/view/DarwinCore/DesignAndPurpose.

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×