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Core Correlation

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Book cover Tracking Environmental Change Using Lake Sediments

Part of the book series: Developments in Paleoenvironmental Research ((DPER,volume 5))

Abstract

The numerical procedure of sequence slotting aims to combine, in a mathematically optimal manner, two ordered sequences of stratigraphical data (e.g., loss-on-ignition, percentages of different biological taxa) into a single while preserving the ordering within each sequence and satisfying any other relevant external constraint such as volcanic tephra layers. The procedure provides a convenient means of core correlation in palaeolimnology and is illustrated by two examples. The first involves univariate pollen data from a lake-sediment core being matched with isotopic ice-core data and associated chronology. The second involves core correlation of two to four cores with a dated master core from eight mountain and arctic lakes in Europe using dry weight and bulk organic matter (loss-on-ignition) data as the proxy variables to derive 3,405 age estimates for the individual core samples.

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Acknowledgements

MOLAR involved a large team of European researchers from over 20 institutes in the United Kingdom, Norway, Finland, Austria, Spain, France, Italy, Switzerland, Czech Republic, Slovak Republic, Poland, Slovenia, and Russia. The MOLAR project benefited from European Union support under the Environment and International Co-operation programmes and was funded by the European Commission Framework Programme IV: Environment and Climate with assistance from INCO (ENV4-CT95-0007/IC20-CT96-0021). We particularly thank all the members of the MOLAR project who collected the 31 cores or sampled and measured loss-on-ignition and dry weight on the 3,405 samples. We similarly thank the BENCHPAR project for the gridded ice-core and Monticchio pollen data.

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Authors and Affiliations

  1. School of GeoSciences, University of Edinburgh, Edinburgh, EH9 3JN, UK

    Roy Thompson & Geoffrey S. Boulton

  2. School of Mathematical Sciences, Monash University, 3800, Melbourne, Victoria, Australia

    R. Malcolm Clark

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  1. Roy Thompson
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  2. R. Malcolm Clark
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  3. Geoffrey S. Boulton
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Correspondence to Roy Thompson .

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Editors and Affiliations

  1. Allegaten 41, Bergen, 5007, Norway

    H. John B. Birks

  2. Dept. Geobiology, Lab. Palaeobotany and Palynology, University Utrecht, Budapestlaan 4, Utrecht, 3584 CD, Netherlands

    André F. Lotter

  3. , School of Geography,, Newcastle University, Daysh Building 14b, Newcastle-upon-Tyne, NE1 7RU, United Kingdom

    Steve Juggins

  4. Dept. Biology, Paleoecological Environmental, Queen's University, Kingston, K7L 3N6, Ontario, Canada

    John P. Smol

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Thompson, R., Clark, R.M., Boulton, G.S. (2012). Core Correlation. In: Birks, H., Lotter, A., Juggins, S., Smol, J. (eds) Tracking Environmental Change Using Lake Sediments. Developments in Paleoenvironmental Research, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2745-8_13

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