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Updated: Jun 3, 2026

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Tree Core Analysis with X-ray Computed Tomography
Published on: September 22, 2023
Pooled versus separate measurements of tree-ring stable isotopes
Isabel Dorado Liñán1, Emilia Gutiérrez, Gerhard Helle
1Universitat de Barcelona, Departament d'Ecologia, Diagonal 645, 08028, Barcelona, Spain. isabel@gfz-potsdam.de
The Science of the Total Environment
|March 16, 2011
Summary
Pooling tree rings for isotopic analysis (δ(13)C and δ(18)O) offers efficiency but can obscure inter-tree variability. While pooled data generally align with individual tree records, subtle differences in δ(18)O and autocorrelation may be missed.
Area of Science:
- Paleoclimatology
- Isotope Geochemistry
- Dendrochronology
Background:
- Tree ring isotopes (δ(13)C, δ(18)O) provide valuable palaeoclimatic and ecophysiological data.
- Isotope chronologies are often created by pooling tree rings, saving resources but limiting uncertainty assessment.
Purpose of the Study:
- To compare δ(13)C and δ(18)O chronologies from pooled versus individual tree rings.
- To assess the advantages and limitations of pooling tree rings for isotopic analysis.
Main Methods:
- Comparison of pooled and individual tree ring isotope chronologies (δ(13)C, δ(18)O).
- Analysis conducted at two Iberian Peninsula sites covering 1900-2003.
- Validation using averaged individual values (Mean) and mass-calibrated means (MassC).
Main Results:
- Pooled chronologies generally agree well with mean individual series (Mean, MassC).
- High interannual synchronicity observed, but decadal/multi-decadal δ(18)O variations showed differences.
- Pooling may obscure individual tree first-order autocorrelation and potential biases.
Conclusions:
- Pooling tree rings is a viable method for interannual isotopic analysis, showing good agreement with individual data.
- Potential loss of information regarding decadal variations and inter-tree variability exists with pooling.
- Analytical uncertainties, like sample inhomogeneity, contribute to observed differences between pooled and individual data.
