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Article
Feasibility of High-Density Climate Reconstruction Based on Forest Inventory and Analysis (FIA) Collected Tree-ring Data
Journal of Hydrometeorology
  • R. Justin DeRose, U.S. Forest Service
  • Shih-Yu (Simon) Wang, Utah State University
  • John D. Shaw, U.S. Forest Service
Document Type
Article
Publisher
American Meteorological Society
Publication Date
2-1-2013
Abstract

This study introduces a novel tree-ring dataset, with unparalleled spatial density, for use as a climate proxy. Ancillary Douglas fir and pin˜ on pine tree-ring data collected by the U.S. Forest Service Forest Inventory and Analysis Program (FIA data) were subjected to a series of tests to determine their feasibility as climate proxies. First, temporal coherence between the FIA data and previously published tree-ring chronologies was found to be significant. Second, spatial and temporal coherence between the FIA data and water year precipitation was strong. Third, the FIA data captured the El Nin˜o–Southern Oscillation dipole and revealed considerable latitudinal fluctuation over the past three centuries. Finally, the FIA data confirmed the quadrature-phase coupling between wet/dry cycles and Pacific decadal variability known to exist for the Intermountain West. The results highlight the possibility of further developing high-spatial-resolution climate proxy datasets for the western United States. (The preliminary FIA data are provided online at http://cliserv. jql.usu.edu/FIAdata/ in both station and gridded format.)

Citation Information
R. Justin DeRose, Shih-Yu (Simon) Wang and John D. Shaw. "Feasibility of High-Density Climate Reconstruction Based on Forest Inventory and Analysis (FIA) Collected Tree-ring Data" Journal of Hydrometeorology Vol. 14 Iss. 1 (2013) p. 375 - 381
Available at: http://works.bepress.com/justin-derose/42/