The 3rd USGS Modeling Conference (7-11 June 2010)

Paper No. 4
Presentation Time: 2:05 PM

A DENDROHYDROLOGICAL RECONSTRUCTION FOR THE WALKER RIVER WATERSHED (EASTERN SIERRA NEVADA/WESTERN GREAT BASIN, USA) USING NEW MODELING TECHNIQUES


BIONDI, Franco1, SALAS, Jose D.2, STRACHAN, Scotty1 and SAITO, Laurel3, (1)DendroLab, University of Nevada, Dept. of Geography, MS 154, Reno, NV 89557, (2)Civil and Environmental Engineering Department, Colorado State University, Fort Collins, CO 89523, (3)Natural Resources & Environmental Science Department, University of Nevada, Reno, NV 89557, fbiondi@unr.edu

High-resolution models that address the data needs of wildlife and water resource managers include reconstructions of hydroclimatic variability with seasonal to annual resolution over several centuries, since these long-term records are ideal to determine the historical range of variability of moisture conditions in specific habitats and of surface water resources in specific watersheds. Tree-ring records recently obtained from single-needle pinyon (Pinus monophylla) stands were used to extend the instrumental record of hydroclimatic variability in the Walker River basin, at the boundary between Nevada and California. Two different ring-width standardization methods, one based on cambial age (the “C-method”) and one based on a cubic smoothing spline with a known frequency response, were used to produce two sets of tree-ring chronologies from the increment core samples. The C-method has been found to provide a theory-based alternative to the empirical “conservative” standardization option, and to perform equally well as the well-known Regional Curve standardization method. Available tree-ring series for the Walker River basin span the past 4-5 centuries at annual resolution, and the record extension model REXTN, which includes both a noise term and an autoregressive term, was used to perform the reconstruction. The dendrohydrological time series is presented, and its features are discussed and interpreted in terms of dry/wet episode duration, magnitude, and peak. This approach allows for a quantitative representation of the likelihood of droughts or pluvials that can be expected in this region.