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Feasibility of high-density climate reconstruction based on Forest Inventory and Analysis (FIA) collected tree-ring data

Posted date: April 02, 2013
Publication Year: 
2013
Authors: DeRose, R. Justin; Wang, Shih-Yu; Shaw, John D.
Publication Series: 
Scientific Journal (JRNL)
Source: Journal of Hydrometeorology. 14: 375-381.

Abstract

This study introduces a novel tree-ring dataset, with unparalleled spatial density, for use as a climate proxy. Ancillary Douglas fir and pinyon 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 Nino-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

DeRose, R. Justin; Wang, Shih-Yu; Shaw, John D. 2013. Feasibility of high-density climate reconstruction based on Forest Inventory and Analysis (FIA) collected tree-ring data. Journal of Hydrometeorology. 14: 375-381.