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    How do Wood Anatomical Traits in Salix Vary in Response to Flooding? A Case Study from the Yenisei River, Siberia

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    Author
    Thaxton, Richard Douglas
    Issue Date
    2022
    Keywords
    hydrology
    intra-annual density fluctuation
    quantitative wood anatomy
    Salix alba
    wood fibers
    Yenisei River Basin
    Advisor
    Meko, David
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    Recent, record-breaking discharge in the Yenisei River, Siberia, is part of a larger trend of increasing river flow in the Arctic driven by Arctic amplification. These changes in magnitude and timing of discharge can lead to increased risk of extreme flood events, with implications for infrastructure, ecosystems, and climate. To better understand the changes taking place, it is useful to have records that help place recent hydrological changes in context. In addition to an existing network of river gauges, extreme flood events can be captured in the wood anatomical features of riparian trees, which help identify the most extreme flood events. Along the lower reaches of the Yenisei River, Siberia we collected white willow (Salix alba) samples from a fluvial fill flat terrace that occasionally floods when water levels are extremely high. Using these samples, we use an approach known as quantitative wood anatomy (QWA) to measure variation in radial cell dimensions, particularly fiber lumen area and cell wall thickness. We then use Pearson correlations to compare these measurements to observed records of flood stage. We hypothesize that (1) intra-annual changes in wood fiber size (LA) and cell wall thickness (CWT) in Salix rings can be quantified using QWA, and (2) these patterns are related to flood magnitude and/or duration. We find that normalized wood fiber CWT best captures intra-annual density fluctuations (IADFs) found in Salix rings. For some trees, time series of normalized CWT correlate with July flood durations, which have profoundly changed since the 1980s. Understanding how riparian vegetation responds to extreme flood events can help us better manage riparian ecosystems and understand changes to the Arctic hydrological regime.
    Type
    text
    Electronic Thesis
    Degree Name
    M.S.
    Degree Level
    masters
    Degree Program
    Graduate College
    Natural Resources
    Degree Grantor
    University of Arizona
    Collections
    Master's Theses

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