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CRUST: Software for the implementation of Regional Chronology Standardisation: Part 2. Further RCS options and recommendations
Responsible organisation
2014 (English)In: Dendrochronologia, ISSN 1125-7865, E-ISSN 1612-0051, Vol. 32, no 4, 343-356 p.Article in journal (Refereed) Published
Abstract [en]

A number of processing options associated with the use of a "regional curve"€ to standardise tree-ring measurements and generate a chronology representing changing tree growth over time are discussed. It is shown that failing to use pith offset estimates can generate a small but systematic chronology error. Where chronologies contain long-timescale signal variance, tree indices created by division of the raw measurements by RCS curve values produce chronologies with a skewed distribution. A simple empirical method of converting tree-indices to have a normal distribution is proposed. The Expressed Population Signal, which is widely used to estimate the statistical confidence of chronologies created using curve-fitting methods of standardisation, is not suitable for use with RCS generated chronologies. An alternative implementation, which takes account of the uncertainty associated with long-timescale as well as short-timescale chronology variance, is proposed. The need to assess the homogeneity of differently-sourced sets of measurement data and their suitability for amalgamation into a single data set for RCS standardisation is discussed. The possible use of multiple growth-rate based RCS curves is considered where a potential gain in chronology confidence must be balanced against the potential loss of long-timescale variance. An approach to the use of the “signal-free” method for generating artificial measurement series with the ‘noise’ characteristics of real data series but with a known chronology signal applied for testing standardisation performance is also described.

Place, publisher, year, edition, pages
2014. Vol. 32, no 4, 343-356 p.
Keyword [en]
Tree rings, Dendroclimatology, Standardisation, Software, RCS, Signal-free
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:polar:diva-4120DOI: 10.1016/j.dendro.2014.07.008OAI: oai:DiVA.org:polar-4120DiVA: diva2:1170685
Available from: 2018-01-04 Created: 2018-01-04 Last updated: 2018-01-04

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  • de-DE
  • en-GB
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