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    Snowpack‐ and Soil Water Content‐Related Hydrologic Indices and Their Association With Radial Growth of Conifers in the Sierra Nevada, California

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    2019JG005331.pdf
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    Author
    Shamir, Eylon
    Meko, Dave
    Touchan, Ramzi
    Lepley, Kai S.
    Campbell, Rochelle
    Kaliff, Rebecca N.
    Georgakakos, Konstantine P.
    Affiliation
    Univ Arizona, Lab Tree Ring Res
    Issue Date
    2020-12-18
    
    Metadata
    Show full item record
    Publisher
    AMER GEOPHYSICAL UNION
    Citation
    Shamir, E., Meko, D., Touchan, R., Lepley, K. S., Campbell, R., Kaliff, R. N., & Georgakakos, K. P. (2020). Snowpack‐and Soil Water Content‐Related Hydrologic Indices and Their Association With Radial Growth of Conifers in the Sierra Nevada, California. Journal of Geophysical Research: Biogeosciences, 125(1), e2019JG005331.
    Journal
    JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
    Rights
    © 2019. American Geophysical Union. All Rights Reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    The utility of a high-resolution snow-hydrologic model to derive climatological indices that describe the variability in radial growth of four conifer species in two Sierra Nevada sites is presented herein. Nine annual indices associated with radial growth were developed to represent the winter dormancy, characteristics of the snowpack and soil water content, and the duration of the seasons. Site chronologies of earlywood (EW) and latewood (LW) ring widths were developed for mountain hemlock (Tsuga mertensiana), red fir (Abies magnifica), white fir (Abies concolor), and ponderosa pine (Pinus ponderosa) at two sites on leeward and windward slopes. The signal strength for annual climatological indices derived from model output was tested with correlation and regression, in combination with principal components analysis. Results show significant snow-related climate signal in the tree-ring data, with substantial differences between species and between EW and LW. Dependence on previous year's snow and soil moisture (a lagged response) were found for EW of hemlock and red fir. The primary EW-LW signal contrast for those species is a shift toward dependence on current-year moisture conditions for LW, especially for red fir. Lagged climate response was less evident for white fir and ponderosa pine. Regression of tree-ring series on principal components of climatological indices showed a stronger average signal in EW (R-2 = 0.48) than in LW (R-2 = 0.35). Differences in tree-ring hydrologic signal at the two sites are attributed to microclimate and contrasts in snow regime. Results attest to the hydrologic model usefulness for investigating temporal relationships between tree rings and local climate.
    Note
    6 month embargo; first published online 18 December 2019
    ISSN
    2169-8953
    EISSN
    2169-8961
    DOI
    10.1029/2019jg005331
    Version
    Final published version
    Sponsors
    National Science Foundation
    ae974a485f413a2113503eed53cd6c53
    10.1029/2019jg005331
    Scopus Count
    Collections
    UA Faculty Publications

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