Abstract
Trees growing beneath electrical power lines are often subjected to heading cuts made during roundover trimming. Heading cuts create wounds that allow decay to enter the branch, and a decay column will form if the tree does not contain it with compartmental reaction zones. The presence of a sizable decay column may predispose the leader to failure, especially when the tree has been converted from a roundover to a V-trim. The objectives of this study were to quantify the amount of decay in silver maples (Acer saccharinum L.) converted from roundover to V-trims and to develop models to allow utility arborists to estimate the extent of internal decay columns. Parent stems (leaders) were removed from converted trees, cut into 50 cm (20 in) sections, and measured for internal and external decay. Eighty percent of the leaders had internal decay columns beginning within 50 cm (20 in) of the heading cut and internal decay columns were found to be over 2½ times longer than the length of external decay. Models are presented to predict the length and volume of internal decay from external measurements on the leader, including length of external decay.
The principal goals of utility line clearance operations are to maintain safe and reliable electric power. Utilities must regularly trim trees that interfere with their power lines (Johnstone 1983; Browning and Wiant 1997). Trees growing beneath power lines are often subjected to roundover trimming to maintain clearance from the conductors. In an effort to reduce costs, many utilities have adopted directional pruning techniques that leave portions of the canopy to grow untrimmed while maintaining desired conductor clearances. V-trimming is a type of directional pruning in which the exterior portions of the canopy remain, whereas the center is periodically trimmed (Johnstone 1983; Gilman 2002).
Roundover trees are subjected to heading cuts in which the branch is cut to a predetermined location not associated with a lateral branch or bud (American National Standards Institute 2001; Gilman 2002). Heading cuts also remove a large portion of the canopy, thus drastically reducing photosynthesis and available carbohydrates (Kaiser et al. 1986; Fazio and Krumpe 1999). Many trees respond to extensive pruning by producing numerous fast-growing watersprouts. The energy to produce the watersprouts is drawn from stored carbohydrates that would otherwise be used in forming barriers to protect the tree from invading decay organisms.
If a tree is inherently prone to decay, or cannot form adequate reaction zones, decay will likely spread down the parent stem (leader), creating decay columns. The conversion from roundover to V-trim establishes a canopy that increases in size and weight over time. The presence of a sizable decay column may predispose the leader to failure as the new canopy grows in size. Indeed, 20% of watersprouts failed along decayed leaders when they were subjected to static loading tests (Dahle et al. 2006a).
The objectives of this study were to (1) quantify the amount of decay in silver maples (Acer saccharinum L.) converted from roundover to V-trims and (2) develop models to allow utility arborists to estimate the extent of internal decay columns.
METHODS
Silver maple trees located in Tippecanoe County in central Indiana, U.S., were used in this study. The trees had been subjected to heading cuts (roundovers) followed by an ongoing conversion to V-trims during electrical line clearance operations, likely two to three trim cycles or 6 to 12 years (Dahle et al. 2006b). Sampling occurred between July and October 2002.
Six trees were sampled with diameters at breast height (dbh) (measured 137.2 cm [54.9 in] above grade) ranging from 34 to 71 cm (13.6 to 28.4 in). Trees were disassembled with a chain saw and leaders were cut into 50 cm (20 in) long sections and the diameter (outside bark) was measured at both ends of the section. The diameter of internal decay visible on the cross-sectional face of each section was measured. The extent of decay was determined by probing with a sharp knife for a boundary between the weakened decayed wood and stronger normal wood. The average of two perpendicular measurements was used as the diameter of decay.
The volume for each 50 cm (20 in) long section was calculated using the formula for a frustum of a right circular cone (Equation 1). When decay was present on both ends, the frustum formula was used to calculate the volume of decay. If decay was only present on one end of the section, the right circular formula for cone (Equation 2) was used to estimate decay volumes.
Equation 1: Volume of the frustum of a right circular cone
where: r = smaller radii
R = larger radii, and
h = length of section
Equation 2: Volume of a right circular cone
where: r = radius
h = section length/2
Data were analyzed using analysis of variance (ANOVA), and a least significant difference (LSD) procedure for unequal sample size was used to determine differences between the means for the beginning distance of external and internal decay. Stepwise regression analysis was used to determine linear relationships in the data using the following variables: diameter at the tip (distal), diameter at trunk (proximal), diameter of decay at the tip, diameter decay at trunk, length of external decay, length of internal decay, first-order interactions, and the square of first-order variables. ANOVA, regression analyses, and calculations of 95% prediction intervals were run using the SAS System version 8.2 (SAS 1999), and LSD were calculated by hand to adjust for unequal sample size. During the stepwise procedure, significance levels for variable selection were set at 15% to allow for variation as variables were added or removed. Significance levels for all final models were set at 5% (α = 0.05). Percentage of volume loss was calculated then transformed using the square root before statistical analysis. Predicted values for regression models are presented in which the length of external decay along the leader was allowed to vary and the remaining variables were fixed with their corresponding mean value.
RESULTS
Internal decay columns began at the heading cut in 46% of the leaders within 1 to 50 cm (0.4 to 20 in) from the heading cut in 33% of the leaders more than 50 cm (20 in) from the heading cut in 10% of the leaders, whereas 10% of the leaders had no decay (Table 1A). External decay began in the first 50 cm (20 in) section in 59% of the leaders, from 51 to 100 cm (20.4 to 40 in) in 7% of the leaders, greater than 100 cm (40 in) in 13% of the leaders, and no decay was present in 20% of the leaders (Table 1B).
A highly significant difference (P < 0.001) was found between the total length of internal decay (142.7 cm [57.1 in] and standard error [SE] = 11.2, 56.2 in, and SE = 4.4) and external decay (50.6 cm [20.2 in] and SE = 7.7, 19.9 in and SE = 3.0). No significant relationships were found between the distance at which internal decay began from the heading cut in the leaders and either the diameter of the leader at the heading cut (P = 0.316) or the total length of internal decay (P = 0.301). A highly significant relationship was found for the total length of internal decay in the leader and four measurements: the length of external decay, beginning and ending leader diameter, and leader length (R2 = 0.45, P < 0.001) (Regression 1). Figure 1 depicts a set of predicted values and 95% prediction interval for the length of internal decay using regression 1, where X2 = 14 cm (5.6 in), X3 = 22 cm (8.8 in), and X4 = 251 cm (100.4 in).
A highly significant relationship was found between the volume of decay in the leaders and three variables: the length of external decay, beginning and ending diameter of the leader (R2 = 0.90, P < 0.001) (Regression 2). A set of predicted values and 95% prediction interval for volume of decay using Regression 2 are shown in Figure 2, where X2 = 14 cm (5.6 in) and X3 = 22 cm (8.8 in).
Regression 1:
Regression 2:
Regression 3:
where: X1 = length (cm) of external decay
X2 = leader diameter (cm) at the heading cut
X3 = leader diameter (cm) at the base
X4 = leader length (cm)
X5 = diameter decay (cm) at heading cut
The mean volume of the exterior shell of the leader was 65,984.7 cm3 (4,026.6 in3), and mean volume of decay was 5,528.4 cm3 (337.4 in3), leaving 60,456.3 cm3 (3,689.2 in3) of sound wood. Mean percent volume loss was 8.4%. Percent volume loss to decay was highly significantly different among 3 distance to initial decay groups (P = 0.002). The percent volume loss (9%) at the heading cut (0 cm) was different from both beginning distances of 1 to 50 cm (0.4 to 20 in) from the heading cut (3%) and greater than 50 cm (20 in) from the heading cut (2%), yet no difference was found between the 1 to 50 cm (0.4 to 20 in) distance and the greater than 50 cm (20 in) distance. A highly significant relationship was found for the square root of percent volume loss and 2 variables: the length of external decay and diameter of decay at the heading cut (R2 = 0.57, P < 0.001) (Regression 3). Figure 3 depicts a set of predicted values and the 95% prediction interval for percent volume loss in the leaders using Regression 3 where X5 = 4 cm (1.6 in).
DISCUSSION
Ninety percent of the leaders were found to contain decay columns (Dahle et al. 2006a), and it appears that decay is often directly associated with heading cuts, because 46% of the leaders had decay at the distal end (Table 1A). Furthermore, the majority of the leaders (80%) had internal decay within the first 50 cm (20 in) from the heading cut. Internal decay columns not associated with heading cuts were most likely the result of the onset of decay from external sources, either old pruning wounds or from cambial dieback caused by sunburn (Costello et al. 2003).
External decay was seen in 80% of the leaders (Dahle et al. 2006a) and typically began within the first 50 cm (20 in) from the heading cut (Table 1B). The overall length of internal decay was found to be over 2½ times that of external decay. The presence of external decay can be an important tool in estimating the size of an internal decay column. The predicted length of internal decay increased with the length of the leader, length of external decay, and with the diameter of both ends of the leader (Figure 1). The relationship between internal decay and the lengths of the leader and external decay seems logical. That internal decay increased as the diameter of the leader increased is noteworthy because it shows that leaders larger in cross-sectional area will have longer decay columns. This suggests that silver maple is not a good compartmentalizer and is susceptible to heartwood decay. Indeed, Giles (2001) lists silver maple heartwood as having a low resistance to decay.
The predicted volume of decay also increased with the length of external decay and diameter of the two ends of the leader (Figure 2). Percentage of volume loss was found to be three times greater in leaders in which internal decay began at the heading cut and increased as the length of external decay and diameter of decay the heading cut increased (Figure 3). Because nearly half the leaders had decay at the tip, it seems reasonable to suggest that heading cuts are likely to create sizable decay columns, which may cause the leaders to become susceptible to failure.
Although no direct relationship to strength loss can be inferred from the regressions presented here, utility arborists may want to use the equations to estimate the extent of internal decay columns in silver maple trees. Estimating internal decay from the presence of external decay can be a useful tool when deciding on failure risk levels in trees converted from roundovers to V-trims. A better understanding of the amount of decay present in the leaders will help arborists determine whether the risk of failure is high enough to warrant the removal of a leader or the whole tree. Future research should investigate if the patterns of decay are similar in other tree species.
Acknowledgments
The authors thank Purdue University, the Department of Forestry and Natural Resources, and the TREE Fund for financial support. PSI Cinergy and Tipmont REMC donated tree crew time. Finally, the authors appreciate the suggestions provided by the anonymous reviewers; the manuscript is stronger with their help.
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