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Research ArticleArticles

The Predictability of Tree Decay Based on Visual Assessments

Deborah K. Kennard, Francis E. Putz and Meg Niederhofer
Arboriculture & Urban Forestry (AUF) November 1996, 22 (6) 249-254; DOI: https://doi.org/10.48044/jauf.1996.038
Deborah K. Kennard
D.K. Kennard and F.E. Putz, Department of Botany, University of Florida, Gainesville, Florida 32611
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Francis E. Putz
D.K. Kennard and F.E. Putz, Department of Botany, University of Florida, Gainesville, Florida 32611
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Meg Niederhofer
M. Niederhofer, City of Gainesville, Parks and Recreation Department, Gainesville, Florida 32601
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  • Figure 1.
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    Figure 1.

    Method used to compare predictions by evaluators with the actual extent and distribution of decay in cross-sections of the 10 study laurel oaks.

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    Figure 2.

    Deviation of predicted proportion of decay from actual, and predicted proportional strength loss from actual, for each of the 10 evaluators (A: Gainesville city arborist; B, C, D: assistant tree surgeons; E: consulting forester; F: botany professor; G: plant ecology graduate student; H, I: utility foresters; J: horticulturalist).

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    Figure 3.

    Deviation of predicted and actual proportion of decay plotted against the deviation of predicted and actual proportional strength loss of all evaluators.

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    Figure 4.

    Mean deviation of predicted and actual decay areas of 7 evaluators who participated in a preliminary study (3 trees; solid squares) and the final study (10 trees, solid circles). (A: Gainesville city arborist; B, C, D: assistant tree surgeons; E: consulting forester; F: botany professor; G: plant ecology graduate student.) Dotted line indicates a mean deviation of zero between predicted and actual decay. Means > 0 overpredicted decay areas; means < 0 underpredicated decay areas.

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    Table 1.

    Equations used to evaluate strength loss associated with wood decay, adapted from (5).

    SourceEquationStrength loss thresholdStrength loss calculated for section A (below)Strength loss calculated for section B (below)Comments
    Coder
    (1989)
    (d/D)*100220–44% caution > 50% hazard13%4%Does not account for asymmetric decay
    Wagener
    (1963)
    (d/D)*10033%22%9%Does not account for asymmetric decay
    Smiley & Freadrich
    (1992)
    (d + r[D-d])/D * 10033%22%14%Accounts for lateral decay, but underestimates strength if internal decay is larger than indicated by external cavity opening
    Mattheck, et al. (1992)t/R<0.300.45n/aFormula is not applicable to trees with open cavities. For these trees, the strength loss threshold is a cavity occupying >120 degrees of the stem circumference
    Percent loss in II decay / 1 trunk * 100see comment12%28%No failure criteria. Accounts for irregularly shaped decay
    Percent area ofa/A * 10035%18%Does not account for asymmetric decay
    • Where:

      • d = diameter of decayed wood

      • D = diameter of trunk

      • t = width of sound wood

      • r = size of cavity opening/circumference of trunk

      • R = radius of trunk

      • I = second moment of area a =

      • area of decay

      • A = area of trunk

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Arboriculture & Urban Forestry (AUF)
Vol. 22, Issue 6
November 1996
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The Predictability of Tree Decay Based on Visual Assessments
Deborah K. Kennard, Francis E. Putz, Meg Niederhofer
Arboriculture & Urban Forestry (AUF) Nov 1996, 22 (6) 249-254; DOI: 10.48044/jauf.1996.038

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The Predictability of Tree Decay Based on Visual Assessments
Deborah K. Kennard, Francis E. Putz, Meg Niederhofer
Arboriculture & Urban Forestry (AUF) Nov 1996, 22 (6) 249-254; DOI: 10.48044/jauf.1996.038
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