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    How to improve dendrogeomorphic sampling: Variogram analyses of wood density using X-Ray computed tomography

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    Author
    Guardiola-Albert, C.
    Ballesteros-Cánovas, J.A.
    Stoffel, M.
    Díez-Herrero, A.
    Issue Date
    2015-01
    Keywords
    Flash floods
    Tree rings
    Variogram analysis
    Wood density
    Wounds
    X-ray computed tomography
    
    Metadata
    Show full item record
    Citation
    Carolina Guardiola-Albert, J. A. Ballesteros-Cánovas, M. Stoffel, and A. Díez-Herrero "How to Improve Dendrogeomorphic Sampling: Variogram Analyses of Wood Density Using X-Ray Computed Tomography," Tree-Ring Research 71(1), 25-36, (1 January 2015).
    Publisher
    Tree Ring Society
    Journal
    Tree-Ring Research
    URI
    http://hdl.handle.net/10150/656863
    DOI
    10.3959/1536-1098-71.1.25
    Additional Links
    http://www.treeringsociety.org
    Abstract
    Knowledge of the spatial heterogeneity of wood is useful for industrial applications and improving dendrogeomorphic sampling, because it allows a better understanding of 3-D wood density structure in tree stems damaged by geomorphic processes. X-ray computed tomography (XRCT) scanning as a means of non-destructive measurement has become an important technique in tree research as it allows the detection of internal variations in wood density. In this paper a new methodology for modelling spatial variations of relative wood density using variograms on XRCT images is developed. For each tree, XRCT images perpendicular to the stem axis were obtained with 1-mm spacing. In a first step, ImageJ software was used to process each image. Then, more than 30 one-dimensional variograms were studied for a selected number of cross-sections. The results show that there is a pattern in the diffusion of relative wood density linked to the attenuation of the geomorphic damage along the stem from the wounded area. Although the number of samples could be increased, these preliminary results demonstrate that variograms of XRCT are a useful tool to optimize dendrogeomorphic sampling, saving time and costs. © 2015 The Tree-Ring Society.
    Type
    Article
    text
    Language
    en
    ISSN
    1536-1098
    EISSN
    2162-4585
    ae974a485f413a2113503eed53cd6c53
    10.3959/1536-1098-71.1.25
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    Tree-Ring Research, Volume 71, Issue 1 (Jan 2015)

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