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Physical Sciences and Mathematics Commons

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Full-Text Articles in Physical Sciences and Mathematics

A Tree-Ring Based Reconstruction Of Logan River Streamflow In Northern Utah, Eric B. Allen, Tammy M. Rittenour, R. Justin Derose, Matthew F. Bekker, Roger Kjelgren, Brendan M. Buckley Dec 2013

A Tree-Ring Based Reconstruction Of Logan River Streamflow In Northern Utah, Eric B. Allen, Tammy M. Rittenour, R. Justin Derose, Matthew F. Bekker, Roger Kjelgren, Brendan M. Buckley

Wasatch Dendroclimatology Research

[1] We created six new tree-ring chronologies in northern Utah, which were used with preexisting chronologies from Utah and western Wyoming to reconstruct mean annual flow for the Logan River, the largest tributary of the regionally important Bear River. Two reconstruction models were developed, a “Local” model that incorporated two Rocky Mountain juniper chronologies located within the basin, and a “Regional” model that also included limber pine and pinyon pine chronologies from a larger area. The Local model explained 48.2% of the variability in the instrumental record and the juniper chronologies better captured streamflow variability than Douglas-fir collected within the …


Feasibility Of High-Density Climate Reconstruction Based On Forest Inventory And Analysis (Fia) Collected Tree-Ring Data, R. Justin Derose, Shih-Yu (Simon) Wang, John D. Shaw Feb 2013

Feasibility Of High-Density Climate Reconstruction Based On Forest Inventory And Analysis (Fia) Collected Tree-Ring Data, R. Justin Derose, Shih-Yu (Simon) Wang, John D. Shaw

Wasatch Dendroclimatology Research

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 …