Detecting spatial connections within a dendrochronological network on Vancouver Island, British Columbia

Trisalyn A. Nelson, Colin P. Laroque, Dan J. Smith

Research output: Contribution to journalArticle

Abstract

In dendrochronology, temporal patterns in radial growth are considered an expression of historical climate processes that cannot be measured. Dendrochronological networks, developed to characterize the geographical and temporal patterns of tree rings, have additional spatial information that can add to our understanding of historical climate conditions. This paper summarizes the use of spatial autocorrelation statistical tools for quantifying spatial trends in dendrochronological networks. Using this approach it is possible to characterize the spatial nature of the process influencing radial growth trends within a tree-ring network. Using a local or mapable measure of spatial autocorrelation it is possible to locate clusters of similar and extreme radial growth trends in any given year and to characterize the persistence of spatial patterns of growth through time. Applied to a dendrochronological network of yellow-cedar (Chamaecyparis nootkatensis (D. Don) Spach), our results suggest that spatial patterns in extreme growth are most often associated with growth limiting climate processes.

Original languageEnglish (US)
Pages (from-to)49-54
Number of pages6
JournalDendrochronologia
Volume29
Issue number1
DOIs
StatePublished - Jan 1 2011
Externally publishedYes

Keywords

  • Dendrochronology
  • Ring-width analysis
  • Spatial autocorrelation
  • Spatial variance
  • Spatial-temporal pattern

ASJC Scopus subject areas

  • Ecology
  • Plant Science

Fingerprint Dive into the research topics of 'Detecting spatial connections within a dendrochronological network on Vancouver Island, British Columbia'. Together they form a unique fingerprint.

  • Cite this