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Feasibility of high-density climate reconstruction based on Forest Inventory and Analysis (FIA) collected tree-ring dataAuthor(s): R. Justin DeRose; Shih-Yu Wang; John D. Shaw
Source: Journal of Hydrometeorology. 14: 375-381.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
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DescriptionThis 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.)
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CitationDeRose, 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.
Keywordstree-ring data, spatial density, climate proxy, Forest Inventory and Analysis Program (FIA) data
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