A forward modeling approach to paleoclimatic interpretation of tree-ring data

M. N. Evans, Bernhard K. Reichert, Alexey Kaplan, Kanchuka J. Anchukaitis, E. A. Vaganov, M. K. Hughes, M. A. Cane

Research output: Contribution to journalArticle

91 Scopus citations

Abstract

We investigate the interpretation of tree-ring data using the Vaganov-Shashkin forward model of tree-ring formation. This model is derived from principles of conifer wood growth, and explicitly incorporates a nonlinear daily timescale model of the multivariate environmental controls on tree-ring growth. The model results are shown to be robust with respect to primary moisture and temperature parameter choices. When applied to the simulation of tree-ring widths from North America and Russia from the Mann et al. (1998) and Vaganov et al. (2006) data sets, the forward model produces skill on annual and decadal timescales which is about the same as that achieved using classical dendrochronological statistical modeling techniques. The forward model achieves this without site-by-site tuning as is performed in statistical modeling. The results support the interpretation of this broad-scale network of tree-ring width chronologies primarily as climate proxies for use in statistical paleoclimatic field reconstructions, and point to further applications in climate science.

Original languageEnglish (US)
Article numberG03008
JournalJournal of Geophysical Research: Biogeosciences
Volume111
Issue number3
DOIs
StatePublished - Sep 28 2006

ASJC Scopus subject areas

  • Geophysics
  • Forestry
  • Oceanography
  • Aquatic Science
  • Ecology
  • Water Science and Technology
  • Soil Science
  • Geochemistry and Petrology
  • Earth-Surface Processes
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science
  • Palaeontology

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    Evans, M. N., Reichert, B. K., Kaplan, A., Anchukaitis, K. J., Vaganov, E. A., Hughes, M. K., & Cane, M. A. (2006). A forward modeling approach to paleoclimatic interpretation of tree-ring data. Journal of Geophysical Research: Biogeosciences, 111(3), [G03008]. https://doi.org/10.1029/2006JG000166