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Rotation-Age Results from a Loblolly Pine Spacing Trial

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This study reports cubic-foot volume yields for particular product definitions from a 25-year-old loblolly pine spacing trial and shows how closely, in the absence of thinning, total and merchantable wood production are linked to initial spacing. Results at the close of the study indicate that (1) high-density plantations can be managed on short rotations for woody biomass production; (2) pulpwood yields can be maximized at a planting density in the neighborhood of 680 trees/ac; (3) the production of solidwood products, without imposing thinning, requires lower establishment densities, with as few as 300 trees/ac planted resulting in a substantial proportion of the total yield recovered as large sawtimber; and (4) a ratio of between-row to within-row planting distances of at least 3:1 does not substantially affect yield production. Considered together, the results of this study suggest that no single planting density is optimal for the wide array of product objectives for which loblolly pine is managed in the South. Rather, managers must select an appropriate planting density in view of the products anticipated at harvest.
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Rotation-Age Results from a Loblolly Pine Spacing
Trial
Ralph L. Amateis and Harold E. Burkhart
This study reports cubic-foot volume yields for particular product definitions from a 25-year-old loblolly pine spacing trial and shows how closely, in the absence
of thinning, total and merchantable wood production are linked to initial spacing. Results at the close of the study indicate that (1) high-density plantations
can be managed on short rotations for woody biomass production; (2) pulpwood yields can be maximized at a planting density in the neighborhood of 680
trees/ac; (3) the production of solidwood products, without imposing thinning, requires lower establishment densities, with as few as 300 trees/ac planted
resulting in a substantial proportion of the total yield recovered as large sawtimber; and (4) a ratio of between-row to within-row planting distances of at least
3:1 does not substantially affect yield production. Considered together, the results of this study suggest that no single planting density is optimal for the wide
array of product objectives for which loblolly pine is managed in the South. Rather, managers must select an appropriate planting density in view of the products
anticipated at harvest.
Keywords: growth and yield, density, spacing, Pinus taeda L.
Few decisions have a greater impact on the growth and devel-
opment of loblolly pine plantations than how many trees are
planted per acre. Managers know that planting density will
affect the quantity and quality of wood harvested at rotation, as well
as the type and timing of intermediate silvicultural treatments.
Given the importance of initial spacing on the growth and de-
velopment of forest stands, spacing trials have been established for
many tree species. Evert (1971) published a comprehensive review
of many spacing studies established where plantation forestry is
practiced. He noted that results from many of these studies were
limited because of inadequacies in the definition of study objectives,
the experimental design, the longevity of the study, or the measure-
ments collected. For loblolly pine, two of the better known studies
with at least 25 years of history are the Hawaii spacing trial on the
island of Maui and the Calhoun Experimental Forest trial in South
Carolina (Harms et al. 1994).
In an effort to increase understanding of how loblolly pine plan-
tations grow in the southern United States, a set of loblolly pine
spacing trials was established at four sites in Virginia and North
Carolina in the spring of 1983. The primary goals for the study were
to (1) evaluate the effects of spacing and density on the growth,
development, and survival of loblolly pine trees; (2) provide data for
modeling growth and yield relationships; and (3) determine the
optimal (in a biological or growth and yield sense) planting densities
for particular product objectives. This report presents results related
to goal 3 of the study. Yield in relation to four definitions of stand
volume was analyzed, namely stand volume and volume of all trees
above a specified threshold diameter limit for pulpwood, chip-and-
saw, and sawtimber utilization.
The Study
Design and Field Procedures
The experimental design for the study was the nonsystematic
design presented by Lin and Morse (1975) in which plots of differ-
ent sizes and shapes containing equal numbers of trees fit together to
form a compact block (Figure 1). Applying this design, a spacing
factor (F) of 4 ft was chosen, and four levels of that factor (1F, 1.5F,
2F, and 3F) were selected and randomly assigned to row and column
positions on a two-dimensional grid. The intersection of the row
and column factors defined 16 plots, each with a specific spacing and
density. The factorial arrangement of 16 plots, each with seven rows
and seven trees within each row, made up a compact block of about
2.5 ac, including guard trees (Figure 1). Each block contained 4
square plots (4 4,66,88, and 12 12 ft) and 12
rectangular plots (4 6, 4 8, 4 12, 6 4, 6 8, 6 12, 8
4,86,812, 12 4, 12 6, and 12 8 ft). Thus, each
rectangular plot had a companion plot that was the same spacing
and density but shifted 90 degrees with regard to the row and col-
umn spacing (e.g., 4 12 ft and 12 4 ft have the same spacing
and density, but the row direction of one is the column direction of
the other). Additional details of the experimental design as applied
to this study can be found in Amateis et al. (1988); Burkhart (2002)
provides an overview of design options for spacing trials.
Four sites were selected, two in the Piedmont and two in the
Coastal Plain (Table 1). All sites were cutover areas that had received
mechanical site preparation and burning treatments following har-
vest. Three blocks were established at each site. In most cases, blocks
at a site were contiguous, or nearly so. The planting stock used was
genetically improved 1-0 loblolly pine bareroot seedlings. The two
Coastal Plain sites were planted with material from Coastal Plain
Manuscript received July 29, 2010; accepted January 13, 2011. http://dx.doi.org/10.5849/sjaf.10-038.
Ralph L. Amateis (ralph@vt.edu), Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061.
Harold E. Burkhart, Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061. Support from the
Forest Modeling Research Cooperative at Virginia Polytechnic Institute and State University is gratefully acknowledged.
Copyright © 2012 by the Society of American Foresters.
SOUTH.J.APPL.FOR. 36(1) 2012 11
ABSTRACT
seed sources, and the two Piedmont sites were planted with material
from Piedmont seed sources. For the first 2 years following estab-
lishment, both herbaceous and woody competing vegetation were
controlled with herbicides. Otherwise, no management treatments
were applied in this study.
Measurements included groundline diameter at ages 1–5 and
dbh annually from age 5. Total height was measured annually
through age 10 and biennially thereafter. A damage assessment code
was collected annually. At age 25, crown class information was
collected on all trees. No assessment of stem quality was made dur-
ing the life of the study. Therefore, Table 2 presents average stand
characteristics for all trees by spacing at ages 5, 10, 15, 20, and 25.
Unique features of this study include blocks established at two
sites within each of two major physiographic regions, an extreme
range of planting densities from 2,722 to 302 trees/ac, ratios of
within-row to between-row distances varying from 1:1 to 3:1, and
annual (or nearly annual) measurements from establishment to con-
clusion of the study (age 25).
History
Periodically over the life of the study, analyses were completed to
examine the growth and development of loblolly pine under differ-
ent establishment densities. Zhang et al. (1996) used data through
age 10 to study the effect of spacing and density on juvenile loblolly
pine plantation development. The individual tree models developed
from that work can be used to predict juvenile growth of loblolly
Figure 1. Example block of the loblolly pine spacing trials using the nonsystematic design of Lin and Morse (1975): 16 treatment plots
with three-row buffer areas separating treatment plots. Treatment plots of different sizes each contained 49 measurement trees.
Table 1. Sites for the loblolly pine spacing trials.
Physiographic
region State County
Latitude
(N)
Longitude
(W)
Piedmont VA Buckingham 37°2678°37
Piedmont VA Halifax 36°4578°43
Coastal plain NC Halifax 36°1177°29
Coastal plain VA King and Queen 37°3176°43
12 SOUTH.J.APPL.FOR. 36(1) 2012
pine plantations covering a wide range of planting densities. Using
annual measurements through age 8, Liu and Burkhart (1993) de-
termined that the distribution of tree diameters, total heights, and
crown heights were significantly correlated with stand age and num-
bers of trees per unit area. Liu and Burkhart (1994) applied trend
surface analysis of spatial characteristics of tree diameters and total
heights in an effort to separate systematic microsite variation from
variation incurred by intertree competition. Their results showed
that in the seedling period of stand development, the systematic
environmental gradients had a dominant impact on the spatial pat-
tern of dbh and total height; however, the effect of environmental
gradients diminished as stands developed. Bullock and Burkhart
(2003) applied a simultaneous autoregressive model to evaluate the
extent of spatial influence that stems in juvenile loblolly pine stands
have on one another. Analysis of diameter measurement data indi-
cated significant spatial dependency in 23.2% of the spacing trial
plots. Diameter distributions of juvenile loblolly pine stands were
characterized using the two-parameter Weibull function to gain
insight into the effects of stand density and to aid in characterizing
diameter distributions in juvenile loblolly pine stands (Bullock and
Burkhart 2005).
Sterba and Amateis (1998) used the 10-year data to examine the
relationship between basal area increment and crown efficiency and
the ratio of crown surface area to crown projection area. Radtke and
Table 2. Mean stand characteristics by spacing at 5, 10, 15, 20, and 25 years across all locations and replications for the loblolly pine
spacing trials.
Stand variable
Planted spacing (ft)
44
46,
64
48,
84
412,
12 466
68,
86
612,
12 688
812,
12 81212
Planted (trees/ac) 2,272 1,814 1,361 908 1,210 908 605 681 454 303
Age 5
Trees/ac 2,648 1,773 1,318 875 1,175 873 583 664 445 296
Height (ft) 12.2 12.4 12.4 12.9 12.3 12.5 12.6 12.6 12.6 12.7
Basal area (ft
2
/ac) 58 46 37 29 35 29 21 24 17 12
dbh (in) 1.9 2.1 2.2 2.4 2.2 2.3 2.4 2.5 2.5 2.6
Crown ratio (%) 75 79 82 85 83 85 87 87 88 88
Total volume (ft
3
/ac)
a
860 624 482 354 439 351 243 283 194 133
Age 10
Trees/ac 2,491 1,718 1,309 870 1,154 865 580 659 441 293
Height (ft) 27.5 28.6 29.4 30.7 29.3 30.3 31.0 31.0 31.3 31.3
Basal area (ft
2
/ac) 164 146 132 115 127 116 98 107 87 71
dbh (in) 3.4 3.8 4.2 4.8 4.4 4.9 5.5 5.4 5.9 6.6
Crown ratio (%) 42 46 50 58 50 54 62 58 65 71
Total volume (ft
3
/ac)
a
2,638 2,324 2,099 1,835 1,985 1,826 1,549 1,700 1,371 1,107
Pulpwood (ft
3
/ac)
b
246 516 761 1,042 844 1,053 1,107 1,189 1,075 935
Chip-and-saw (ft
3
/ac)
c
0 0 0 0 0 9 26 18 64 221
Age 15
Trees/ac 1,884 1,509 1,177 806 1,073 817 559 625 426 283
Height (ft) 37.6 38.3 39.7 41.6 39.8 41.5 43.0 42.6 43.5 44.2
Basal area (ft
2
/ac) 190 189 179 163 172 165 149 156 137 119
dbh (in) 4.2 4.7 5.1 5.9 5.3 6.0 6.9 6.7 7.6 8.7
Crown ratio (%) 29 31 33 38 34 36 42 38 44 50
Total volume (ft
3
/ac)
a
3,793 3,743 3,616 3,357 3,459 3,402 3,114 3,249 2,871 2,504
Pulpwood (ft
3
/ac)
b
1,421 1,993 2,339 2,628 2,386 2,659 2,685 2,753 2,581 2,337
Chip-and-saw(ft
3
/ac)
c
0 0 111 479 76 381 1,017 836 1,456 1,790
Sawtimber (ft
3
/ac)
d
000000 008178
Age 20
Trees/ac 1,148 1,058 878 650 733 663 500 565 395 265
Height (ft) 46.6 48.6 50.3 52.3 49.9 52.7 54.4 54.5 56.1 57.7
Basal area (ft
2
/ac) 159 177 176 174 158 175 172 179 163 145
dbh (in) 4.9 5.4 5.9 6.8 6.1 6.8 7.8 7.5 8.6 9.9
Crown ratio (%) 27 27 29 32 30 30 34 32 36 42
Total volume (ft
3
/ac)
a
3,716 4,286 4,381 4,456 3,874 4,505 4,521 4,714 4,373 3,967
Pulpwood (ft
3
/ac)
b
2,234 2,995 3,390 3,839 3,111 3,867 4,104 4,222 4,075 3,791
Chip-and-saw (ft
3
/ac)
c
156 395 745 1,675 834 1,566 2,557 2,357 3,043 3,297
Sawtimber (ft
3
/ac)
d
0 0 0 109 0 90 190 120 436 1,359
Age 25
Trees/ac 556 640 567 462 487 455 371 433 331 237
Dominant height (ft) 59.1 61.7 64.3 67.0 62.9 65.4 67.5 67.3 68.6 70.1
Height (ft) 56.3 59.2 60.3 63.4 60.5 63.0 65.5 65.1 66.9 68.9
Basal area (ft
2
/ac) 128 157 163 172 148 166 168 177 171 162
dbh (in) 6.3 6.6 7.1 8.1 7.3 8.0 8.9 8.5 9.6 11.0
Crown ratio (%) 26 27 27 30 28 29 31 29 31 36
Total volume (ft
3
/ac)
a
3,536 4,515 4,800 5,250 4,330 5,009 5,224 5,514 5,394 5,233
Pulpwood (ft
3
/ac)
b
2,912 3,779 4,215 4,820 3,847 4,587 4,909 5,131 5,131 5,066
Chip-and-saw (ft
3
/ac)
c
1,214 1,270 2,196 3,253 2,092 3,038 3,794 3,694 4,276 4,593
Sawtimber (ft
3
/ac)
d
0 100 207 673 167 571 1,249 891 1,690 3,065
a
Outside bark volume, all trees.
b
Outside bark volume 5-in. dbh class and above to 4-in. top diameter outside bark.
c
Outside bark volume 8-in. dbh class and above to 6-in. top diameter outside bark.
d
Outside bark volume 11-in. dbh class and above to 8-in. top diameter outside bark.
SOUTH.J.APPL.FOR. 36(1) 2012 13
Burkhart (1999) used early data from the study to examine relation-
ships between the inflection age of cumulative basal area growth,
crown closure, and crown competition factor. Radtke et al. (2003)
investigated the relationship between competition and age of inflec-
tion of individual-tree basal area curves. Results from these latter
two studies provide insights into how basal area development should
be modeled over the early years for different planting densities.
MacFarlane et al. (2000) examined the assumption that height
growth of dominant trees is independent of initial planting density
using data on the average height of the seven tallest trees at age 16.
Their analysis showed a highly significant negative correlation be-
tween dominant height and initial planting density.
Long-term field studies are subject to catastrophic events. In the
11th year of the trials (winter of 1994), a severe ice storm badly
damaged several plots on the northernmost Piedmont site. Using
stem quality assessment data collected after the storm, Amateis and
Burkhart (1996) developed prediction equations for estimating the
probability of five levels of stem bending and top breakage based on
a proportional odds model.
At age 20, most of two blocks at the northernmost Piedmont site
were attacked by southern pine beetles, and a decision was made to
discontinue measurements on these blocks. Following abandon-
ment, 34 sample trees from 10 spacing treatments were felled, and
data were collected on whorl height aboveground, status of whorl
(live, sound, decayed, or knot), and branch diameter. Dissection of
whorls in the laboratory yielded information on knot size and shape
and branch diameter growth. These data from the field and labora-
tory were used to construct models of branch diameter growth and
knot formation along the boles of loblolly pine trees (Trincado and
Burkhart 2008, 2009).
The southernmost Piedmont location was abandoned at year 20
because of a land sale and subsequent thinning operation. Thus,
from age 21 to the end of the study, 7 of the original 12 blocks were
still being measured: 6 in the Coastal Plain and 1 in the Piedmont.
Data from this study have also been used to evaluate the impact
of rectangularity on growth and development of loblolly pine. Sur-
vival and the development of height, diameter, volume yield, and
basal area were not affected by rectangularity out to a 3:1 ratio of
between-row to within-row tree distance (Sharma et al. 2002a,
2002b). Bole condition and stem asymmetry were not affected by
rectangularity. Although extreme rectangularity has significantly af-
fected maximum branch diameter, the mean branch diameter has
not been found to be large enough to degrade the butt log for the
12 4 rectangular spacing of this study (Amateis et al. 2004).
In recent years, the trials have yielded important information
about height, dbh, and basal area growth relationships. Amateis et
Figure 2. Total cubic-foot volume outside bark for the 4 4-ft, 6 6-ft, 8 8-ft, and 12 12-ft square spacing treatments for ages
5–25 of the loblolly pine spacing trials.
14 SOUTH.J.APPL.FOR. 36(1) 2012
al. (2009) found no correlation between row orientation, spacing
treatment, and height and dbh growth at any age of plantation
development. The mean height and dbh data presented in Table 2
suggest that both are affected by planting density. Work by Anto´n-
Ferna´ndez et al. (in press, a) has quantified and modeled the rela-
tionship between height development and establishment density.
Using the full range of data over the life of the study, they found that
density begins to affect dominant height development by age 6 and
continues to influence height development through age 25. This
confirms the earlier work of MacFarlane et al. (2000) and suggests
that site index determination can be affected by initial density. Ad-
ditional work by Anto´n-Ferna´ndez et al. (in press, b) evaluated the
effect of planting density on basal area development over the life of
the study. Their work quantified the downturn in basal area ob-
served for dense plantings and the asymptotic behavior seen in less
dense plantings. A combined exponential and power function was
used to model both developmental patterns.
These spacing trials, because of the wide range of initial densities
and long-term measurements, have provided important new infor-
mation on maximum size-density relationships and self-thinning.
VanderSchaaf and Burkhart (2007) compared methods for estimat-
ing Reineke’s maximum size-density boundary line slope using
the spacing trial data. The data were also used (VanderSchaaf and
Burkhart 2008) to construct regressions relating stages (density-
independent, density-dependent) and phases (curved approach, lin-
ear, divergence within the self-thinning phase) of the maximum
size-density relationship to planting spacing.
Clearly, results yielded by the trials over the years have met goals
1 and 2 by shedding light on a number of aspects of loblolly pine
plantation growth and development. The purpose of this analysis is
to consider goal 3 of the study: How does planting density affect
yield for particular product definitions?
Methods
Because heights were measured biennially after age 10, linear
interpolation was used to estimate total height for the years lacking
an observed height. At age 25, the crown class (dominant or
codominant, intermediate or suppressed) of each tree was recorded,
and total height was measured. Average height of the dominant and
codominant trees was computed to obtain an exhibited site index for
each treatment plot (Table 2).
Diameter and heights for each live tree were used to estimate total
outside bark volume of the main stem using the individual tree total
volume equation of Tasissa et al. (1997). The Tasissa et al. (1997)
merchantable volume equations were used to compute three esti-
mates of merchantable yield. For trees in the 5-in. dbh class (dbh at
least 4.6 in.) and above, an estimate of merchantable pulpwood
volume to a 4-in. top diameter outside bark was computed. Simi-
larly, trees in the 8-in. dbh class and above to a 6-in. top diameter
outside bark were used to compute an estimate of chip-and-saw
Figure 3. Cubic-foot pulpwood volume outside bark (5-in. dbh class and above to a 4-in. top diameter outside bark) for the 4 4-ft,
66-ft, 8 8-ft, and 12 12-ft square spacing treatments for ages 5 through 25 of the loblolly pine spacing trials.
SOUTH.J.APPL.FOR. 36(1) 2012 15
volume, and trees in the 11-in. dbh class and above were used to
compute an estimate of sawtimber volume to an 8-in. top diameter
outside bark. Per-acre summaries of total and merchantable volumes
were computed for each treatment plot and averaged across all sur-
viving blocks and locations of the study at each age (Table 2 and
Figures 2–5). Recognizing that specific products, merchantability
standards, and product metrics, such as volume or weight, will vary
with local markets, it should be possible to relate the cubic-foot
volume per acre results presented here to other standards and prod-
uct specifications.
Results and Discussion
Figure 2 summarizes total volume outside bark yield production
for the square spacing treatments over the life of the study. Plots
established at high densities and close spacings outproduced plots
established at low densities and wide spacings through the early years
of the study. The 4 4-ft treatment plots produced more total
volume yield through age 13 than any other treatment plot. By age
15, however, increased mortality in the 4 4-ft plots reduced yield
production below plots established at lower densities and wider
spacings. Thus, management strategies geared toward total biomass
production suggest that high initial establishment densities and
short rotations will be optimal.
Figure 3 summarizes pulpwood production for the square spac-
ing treatments. No treatment produced more pulpwood volume
than the 8 8-ft spacing treatment. Where pulpwood production is
the management objective, plantation establishment densities in the
neighborhood of 680 trees/ac should be optimal for rotations of 25
years or less and site qualities similar to those included in these trials.
With regard to pulpwood production, results from this study are
consistent with those of Harms and Lloyd (1981).
Figures 4 and 5 present the development of chip-and-saw and
sawtimber production, respectively, for the square spacing treat-
ments. Management strategies that are optimal for solidwood prod-
ucts will include wider spacings and fewer trees planted. In this
study, the 8 12-ft and 12 12-ft spacing treatments produced
more chip-and-saw than other treatments for all ages. The 12
12-ft (302 trees/ac) planting density produced more sawtimber
across all ages, by a wide margin, than any other spacing treatment.
By age 25, the 12 12-ft spacing had almost twice as much saw-
timber as the 8 12-ft spacing (454 trees/ac planted) (Table 2).
When sawtimber production is the goal and thinning is not part of
an overall stand management plan, 300 trees/ac planted does not
appear to underuse the site.
An important finding from this study is that rectangularity was
not an important factor affecting yield production. By age 25, dif-
ferences between yields of the 4 12-ft spacing treatments and the
68-ft spacing treatments (48 ft
2
of growing space per tree) were
not statistically significant. This suggests that where site prepara-
tion and planting costs can be reduced for a given number of trees
planted by establishing fewer rows, spacings with increased be-
tween-row planting distances and decreased within-row distances
can be implemented.
In summary, the major conclusions from this study are as
follows:
1. The particular planting density selected has a far greater effect
on yield and the products obtained at harvest than the degree of
rectangularity. In other words, the shape of the growing space
per tree is not nearly as important as the amount of growing
space per tree.
Figure 4. Cubic-foot chip-and-saw volume outside bark (8-in. dbh class and above to a 6-in. top diameter outside bark) for the 4 4-ft,
66-ft, 8 8-ft, and 12 12-ft square spacing treatments for ages 10–25 of the loblolly pine spacing trials.
16 SOUTH.J.APPL.FOR. 36(1) 2012
2. In the absence of thinning, there is an inverse relationship
between planting density and size of products realized at har-
vest. Product objectives at harvest that include large sawtimber
trees will require fewer trees per acre planted. Assuming no
thinning, a planting regime of 300 trees/ac appears reasonable
for growing sawtimber over a 25-year rotation on sites similar
to those included in this study. Conversely, total biomass pro-
duction goals can best be met by establishing high-density
plantations managed on short rotations.
3. Management objectives focused on realizing pulpwood yields
can be achieved by planting about 680 trees/ac on lands exhib-
iting site quality similar to that of these plantings.
Considered together, the results of this study suggest that no
single planting density will be optimal for all management objec-
tives. Rather, managers will need to consider product objectives
desired at final harvest and whether opportunities for thinning and
other silvicultural interventions will be present during midrotation
when selecting an initial planting density.
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SHARMA, M., H.E. BURKHART,AND R.L. AMATEIS. 2002a. Modeling the effect of
density on the growth of loblolly pine trees. South. J. Appl. For. 26:124–133.
Figure 5. Cubic-foot sawtimber volume outside bark (11-in. dbh class and above to an 8-in. top diameter outside bark) for the 4 4-ft,
66-ft, 8 8-ft, and 12ft x 12 ft square spacing treatments for ages 10–25 of the loblolly pine spacing trials.
SOUTH.J.APPL.FOR. 36(1) 2012 17
SHARMA, M., H.E. BURKHART,AND R.L. AMATEIS. 2002b. Spacing rectangularity
effect on the growth of loblolly pine plantations. Can. J. For. Res. 32:1451–
1459.
STERBA, H., AND R.L. AMATEIS. 1998. Crown efficiency in a loblolly pine (Pinus
taeda) spacing experiment. Can. J. For. Res. 28:1344–1351.
TASISSA, G., H.E. BURKHART,AND R.L. AMATEIS. 1997. Volume and taper equations
for thinned and unthinned loblolly pine trees in cutover, site-prepared
plantations. South. J. Appl. For. 21:146–152.
TRINCADO, G., AND H.E. BURKHART. 2008. A model of knot shape and volume in
loblolly pine trees. Wood Fiber Sci. 40:634646.
TRINCADO, G., AND H.E. BURKHART. 2009. A framework for modeling the dynamics
of first-order branches and spatial distribution of knots in loblolly pine trees. Can.
J. For. Res. 39:566–579.
VANDERSCHAAF, C.L., AND H.E. BURKHART. 2007. Comparison of methods to
estimate Reineke’s maximum size-density relationship boundary line slope. For.
Sci. 53:435–442.
VANDERSCHAAF, C.L., AND H.E. BURKHART. 2008. Using segmented regression to
estimate stages and phases of stand development. For. Sci. 54:167–175.
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growth for juvenile loblolly pine plantations. For. Ecol. Manag. 89:157–172.
18 SOUTH.J.APPL.FOR. 36(1) 2012
... (a) Yield and cost data were obtained from [9] for the loblolly pine stands in Georg The yield was based on a growth model and the stumpage data from market sources. F comparison, the empirical yield data from [14] were evaluated for loblolly pine stands North Carolina and Virginia. ...
... The yield was based on a growth model and the stumpage data from market sources. For comparison, the empirical yield data from [14] were evaluated for loblolly pine stands in North Carolina and Virginia. ...
... These effects were dominated by the transition growing trees to the sawtimber size class after age 20. The planting trials in Virginia a North Carolina showed that, across the initial tree spacings, the harvestable volu curves with time were also roughly linear out to year 25 [14]. Again, to age 25 there w no peak in the MAI curve. ...
Article
Full-text available
The Faustmann formula, equivalent to the land expectation value (LEV), yields the present value, starting with bare land, of an infinite series of future timber rotations for a stand. If this formula is used to find the rotation age that maximizes the present value, a lower annual harvest will result when compared to a maximum sustained yield (MSY) regime for an ownership with many stands. However, the LEV is strongly preferred by economists. This is the LEV vs. rents paradox. Herein, this paper demonstrates that an infinite series of annual harvests for an ownership under an even flow regime, discounted to the present using any interest rate, will provide the same optimal rotation age as the time of the peak MAI for a single stand, though with different estimates for the profitability, depending on the interest rate. Thus, rotations producing the MSY and the maximum financial return are identical when analyzed at the ownership scale but are not the same when based on the analysis at the stand scale using the Faustmann formula (LEV). This is the solution to the paradox. The formulas for internal rate of return (IRR) and the land valuation for transaction purposes are also presented.
... This excess timber product is woody and often suitable for biomass burners after drying and grinding or pelletization (Lal et al., 2014). Further, this feedstock is already commonly used in the region for timber and lightly as a bioenergy feedstock, so broad changes from general practices already in operation are not necessary (Amateis and Burkhart, 2012). ...
... These scenarios ranged between producing high value timber over long timescales (Scenarios 1 &2) to bioenergy plantings (Scenarios 7 & 8) with a 12-year rotation age, while scenarios 3 through 6 simulate a range of high-density timber plantings with increasing levels of management and yield. The initial planting densities in trees per acre (TPA) were taken from experimental plantings by Amateis and Burkhart (2012) for four different initial planting densities and rotation lengths ( Table 1). The initial basal area was based on an assumed average seedling diameter of one inch (Amateis et al., 2001). ...
... Each planting density had a fertilized and unfertilized variant to account for the irregularity of fertilization in the state. Thinning dates and target densities post thinning were also sourced from Amateis and Burkhart (2012) which was based on both present practices and proposed methodologies from local test plots. Thinning residues are often wasted, or allowed to reside on site; however, here the thinned timbers are assumed to be harvested and used for bioenergy as they are still an easily harvestable biomass source available midway through planting densities (Amateis and Burkhart, 2012;Perlack and Stokes, 2011; "Virginia's Forestry Best Management Practices for Water Quality Field Guide," 2019). ...
Article
Full-text available
Bioenergy is an essential piece of the United States’ (US) energy portfolio. However, questions surrounding bioenergy sourcing and adoption at the producer level remain persistent challenges, hampering proliferation in areas not already available. To establish new industries, individual regions must be evaluated for various bioenergy feedstocks and incorporate elements for environmental, societal, and economic growth. This study assessed the overall potential for loblolly pine (Pinus taeda) in Virginia, US, for domestic bioenergy by utilizing stakeholder preferences for site selection and biomass potential from a regional growth and yield model. Our results show that bioenergy in the state requires widespread planting of loblolly pine to provide sufficient feedstock and that additional studies on the moisture content of pine across the region should be deployed to accurately map the expected quality of the feedstock. Additional outreach to landowners will be necessary since narrower land quality preferences compared to other stakeholder groups, though these narrower preferences do lead to overall higher yields and space efficiency. The least cost transportation for collecting log residues from sites to proposed burners ranged from $4.30 to $5.97 per ton in our research area. This analysis supports policy to increase plantings of loblolly pine to supplement the state forest industry and increase bioenergy. However, differences between stakeholder groups constitute a significant roadblock to establishment and may require further policy interventions.
... This excess timber product is woody and often suitable for biomass burners after drying and grinding or pelletization (Lal et al., 2014). Further, this feedstock is already commonly used in the region for timber and lightly as a bioenergy feedstock, so broad changes from general practices already in operation are not necessary (Amateis and Burkhart, 2012). ...
... These scenarios ranged between producing high value timber over long timescales (Scenarios 1 &2) to bioenergy plantings (Scenarios 7 & 8) with a 12-year rotation age, while scenarios 3 through 6 simulate a range of high-density timber plantings with increasing levels of management and yield. The initial planting densities in trees per acre (TPA) were taken from experimental plantings by Amateis and Burkhart (2012) for four different initial planting densities and rotation lengths ( Table 1). The initial basal area was based on an assumed average seedling diameter of one inch (Amateis et al., 2001). ...
... Each planting density had a fertilized and unfertilized variant to account for the irregularity of fertilization in the state. Thinning dates and target densities post thinning were also sourced from Amateis and Burkhart (2012) which was based on both present practices and proposed methodologies from local test plots. Thinning residues are often wasted, or allowed to reside on site; however, here the thinned timbers are assumed to be harvested and used for bioenergy as they are still an easily harvestable biomass source available midway through planting densities (Amateis and Burkhart, 2012;Perlack and Stokes, 2011; "Virginia's Forestry Best Management Practices for Water Quality Field Guide," 2019). ...
Article
Full-text available
Bioenergy is an essential piece of the United States’ (US) energy portfolio. However, questions surrounding bioenergy sourcing and adoption at the producer level remain persistent challenges, hampering proliferation in areas not already available. To establish new industries, individual regions must be evaluated for various bioenergy feedstocks and incorporate elements for environmental, societal, and economic growth. This study assessed the overall potential for loblolly pine (Pinus taeda) in Virginia, US, for domestic bioenergy by utilizing stakeholder preferences for site selection and biomass potential from a regional growth and yield model. Our results show that bioenergy in the state requires widespread planting of loblolly pine to provide sufficient feedstock and that additional studies on the moisture content of pine across the region should be deployed to accurately map the expected quality of the feedstock. Additional outreach to landowners will be necessary since narrower land quality preferences compared to other stakeholder groups, though these narrower preferences do lead to overall higher yields and space efficiency. The least cost transportation for collecting log residues from sites to proposed burners ranged from $4.30 to $5.97 per ton in our research area. This analysis supports policy to increase plantings of loblolly pine to supplement the state forest industry and increase bioenergy. However, differences between stakeholder groups constitute a significant roadblock to establishment and may require further policy interventions.
... In other words, the cost of blanking would lower the land expectation value by $150 with no gain in sawtimber production. Typically, most private landowners in the SUS do not blank since sawlog production is near optimal when seedlings are planted at 741 ha -1 [220,221]. ...
... A 25-yr old, non-thinned loblolly pine stand (749 planted seedlings ha -1 ) has 145% more sawlogs than a stand planted with twice as many seedlings. Data from [220]. Too many surviving seedlings can increase wood production while reducing economic returns. ...
Preprint
Full-text available
Artificial regeneration is successful when high performing seedlings are transported with care to the planting site, stored for a short period in an environment without desiccation or fungal growth, and are planted in a deep hole so roots are in contact with moist soil. One of the requirements for success is the ability to avoid common planting mistakes. Due, in part, to use of container stock plus an increase in rainfall, average 1st year survival of pine seedlings (89%) in the southern United States is about 15% greater now than 45 years ago. However, when survival is less than 50% six months after planting, some landowners seek reimbursement for their loss. Some assume poor seedling quality was the cause without realizing that anaerobic soils or sudden freeze events or shallow planting holes or pruning roots, a lack of rain, or underground insects can kill pines. With a focus on pines planted in the southern United States, we list non-nursery factors that have killed seedlings in North America, Africa and Europe.
... In other words, the cost of blanking would lower the land expectation value by $150 with no gain in sawtimber production. Typically, most private landowners in the SUS do not blank since sawlog production is near optimal when seedlings are planted at 741 ha −1 [222,223]. ...
... A 25-year old, non-thinned loblolly pine stand (749 planted seedlings ha −1 ) has 145% more sawlogs than a stand planted with twice as many seedlings. Data from [222]. Too many surviving seedlings can increase wood production while reducing economic returns. ...
Article
Full-text available
Artificial regeneration is successful when high-performing seedlings are transported with care to the planting site, stored for a short period in an environment without desiccation or fungal growth, and planted in a deep hole, so roots are in contact with moist soil. One of the requirements for success is the ability to avoid common planting mistakes. Due, in part, to the use of container stock plus an increase in rainfall, the average first-year survival of pine seedlings (89%) in the southern United States is about 15% greater now than 45 years ago. However, when survival is less than 50% six months after planting, some landowners seek reimbursement for their loss. Some assume poor seedling quality was the cause without realizing that anaerobic soils or sudden freeze events, shallow planting holes, pruning roots, a lack of rain or underground insects can kill pines. With a focus on pines planted in the southern United States, we list non-nursery factors that have killed seedlings in North America, Africa and Europe.
... Rank A limitation of using FIA data for growth modeling is the potential mislabeling of stand-origin types. In the eastern United States, the rotation age of plantation forests is usually up to 50 years (~25 years for loblolly pine) (Cunningham et al. 2008;Amateis and Burkhart 2012). Our datasets on loblolly pine included trees older than 50 years. ...
Article
Accurate productivity estimates are essential to assess the overall sustainability of forest resources. Site index (SI) models for loblolly pine (Pinus taeda L.) in plantation and natural forests of the southeastern United States were developed using the Forest Inventory and Analysis (FIA) database. We extracted short (~20 years), unbalanced panel data from the FIA database. Ten different nonlinear models derived from the base models using the algebraic difference approach (ADA) or the generalized algebraic difference approach (GADA) were fitted to the extracted data. The performance of the models was ranked based on a variety of fit and evaluation statistics. The results showed that all top three models were derived using the GADA approach. The best model for loblolly pine plantation and natural forest stands was derived from the Hossfeld model and the Chapman–Richards model, respectively. The best-fitted models for planted forests were also compared with previously developed models. This study demonstrated that base-age invariant and polymorphic SI models could be developed using short panel data extracted from FIA data. The SI models presented here can be used as a height growth model component in forest growth and yield model systems.
... The onset of inter-tree competition in loblolly pine has been estimated to be after 5 years in the most densely planted plots (1.2 × 1.2 m) and after 8.6 years in the most sparsely planted plots (3.7 × 3.7 m) [80]. The latter age corresponds to circa 35% of the rotation age for managed P. taeda [81], which indicates a longer period of competition-free early growth for the wider spacing. Although canopy closure in Norway spruce progeny plots in northern Europe with conventional spacing is typically observed at the age of 10-20 years [79], the low planting density (5 × 5 m) in the study site could have delayed it substantially [82,83]. ...
Article
Full-text available
The breeding of Norway spruce in northern Europe has substantially contributed to the production of high-quality wood. The vegetative propagation of robust elite clones could help to sustain the provision of high-quality timber in the face of changing climates. For the adequate evaluation of genetic gains, the altered tree growth dynamics of the clones need to be understood, yet essential information about the long-term growth dynamics of improvedboreal trees is still lacking. We examined a 50-year-old clonal plantation in Latvia to distinguish the clonal effects on diameter growth function parameters and estimate the genetic parameters. A mixed-effect modelling approach was used, in which the clones were applied as random effects on the parameters of the Chapman–Richard equation. All model parameters showed significant variance in the genotypic coefficients of variation CVg which ranged between 11.0 and 17.1%, with the highest being for the growth rate. The heritability (H2) of the diameter at breast height (DBH) reached 0.35 at the age of 40, while CVg decreased from 12.9% to 7.8% between the ages of 20 and 45. Age–age genotypic correlations were positive and were strong or very strong (>0.76). The realised genetic gain varied from −6.3 to +24.0% around the trial mean. A substantial improvement in DBH was indicated when elite clones were selected for vegetative propagation based not only on early measurements, but also considering the genetic variance in the model parameters.
... ‫ا‬ ٗ ‫ي‬ ‫حبل‬ ، ‫صٗزبدٕ‬ ‫ؿوبس‬ ‫اص‬ ‫پظٍّؾ‬ ‫ّب‬ ٕ ‫داخلٖ‬ ٍ ‫خبسخ‬ ٖ ‫تٌْزب‬ ‫تؼ٘ز٘ي‬ ‫ثزِ‬ ‫فبكزلٔ‬ ‫وبؿت‬ ‫ٗب‬ ‫ػي‬ 1 ‫التلبدٕ‬ ‫كزٌَثش‬ ‫ثشداؿت‬ ‫پشداختزِ‬ ‫اًزذ‬( Olson & Lundgren, 1978;Engindeniz, 2003;Keča et al., 2012;Mohammadi Limaei et al., 2013;Adeli et al., 2016;Keča, 2017 ) ‫اػت‬ ‫ٍاثؼتِ‬ ٍ ‫فبكزلٔ‬ ‫وبؿت‬ ‫ًزَع‬ ‫اص‬ ‫تبثؼٖ‬ ‫ً٘ض‬ 1 ‫هحلزَل‬ 2 ‫ٗزب‬ ‫هحلزَل‬ ‫ّزب‬ ٕ ‫ّززذف‬ 3 ‫اػززت‬ (Amateis & Burkhart, 2012) ‫اص‬ . ‫ا‬ ٗ ‫ي‬ ‫سٍ‬ ، ‫ثْ‬ ٘ ٌِ ‫ػبص‬ ٕ ‫وبؿت‬ ‫فبكلٔ‬ ‫دٗگزش‬ ٍ ‫ثشداؿت‬ ‫ػي‬ ، ‫فؼبل‬ ٘ ‫ت‬ ‫ّب‬ ٕ ‫(هبًٌذ‬ ‫هذٗشٗتٖ‬ ‫وَددّ‬ ٖ ‫ثبٗذ‬ ‫تَدُ‬ ) ‫ثزشإ‬ ٍ ‫زخق‬ ‫هـز‬ ‫هحلزَل‬ ‫زذ‬ ‫چٌز‬ ‫ٗزب‬ ‫زه‬ ‫ٗز‬ ‫تَل٘زذ‬ ‫ثزِ‬ ‫زَست‬ ‫كز‬ ‫ّوضهبى‬ ‫كزَست‬ ‫پزز‬ ٗ ‫شد‬ ( Chang, 1983;Amateis & Burkhart, 2012;Halbritter & Deegen, 2015 .) (Vanclay, 1992;Burkhart & Tome, 2012) . ...
Article
Full-text available
This research aimed at determining the economic planting interval, planting pattern, and rotation age for high-yield black poplar in the West Azerbaijan Province, Iran. For this purpose, a decision support system called the bio-economic model was employed. The model simulates the dynamics of the stand’s bio-economic variables over time. The statistical population consists of poplar farmers and timber merchants in Orumiyeh and Naghadeh counties where black poplar plantations were highly concentrated. Biological data were collected using full calipering inventory (diameter) and systematic random sampling (height and wet wood density). The economic data (stumpage price and costs) were obtained through a field survey based on a semi-structured interview. Multiple regression analysis and OLS estimators were used to estimate the biological (e.g., growth and yield) and economic (e.g., planting cost) sub-models. By integrating sub-models within an Excel spreadsheet, a bio-economic the model was constructed for black poplar plantations. Finally, land expectation value (Faustmann formula) was simulated over a wide range of planting intervals, planting patterns, and rotation age. As a result, the economic planting interval/pattern and rotation age of average-fertility plantations appeared to be square, 2.52.5 meters and 12 years while the common standards are rectangular, 31 meter and 8 years, respectively. The results revealed that implementing economically optimal planting and harvest standards increase the per-hectare merchantable volume production, quadratic mean diameter, and land expectation value by 56, 46, and 143 percent, respectively. Further research will be required to model and optimize the growth response of poplar plantations to management activities (e.g., ploughing, fertilization, irrigation, vegetation control, and thinning).
... Studies have shown that harvested wood sizes are affected by initial densities. Amateis and Burkhart (2012) showed that 25 year-old loblolly pine planted at 740 trees ha −1 could produce sawlog grade wood, which is due to a lower initial density produces on average larger diameter trees that are valuable as sawtimber (Forrester et al. 2013). On the other hand, an initial density of 1680 trees ha −1 of loblolly pine is best for pulpwood production on similar site quality as sawtimber production . ...
Article
Loblolly pine plantations in the southeastern United States contribute significantly to local and state timber supply and economies. Planting density greatly affects reforestation costs. It also influences when vegetation starts competing inter- (and intra)-specifically for limited site resources, and when thinnings occur. Planting 600 seedlings per acre essentially forces landowners into two thinnings prior to a final clearcut. However, many landowners are finding it difficult to conduct first thinnings; poor pulpwood markets and lack of interest from loggers have become common. Reforestation costs have increased due to inflation. Thus, given better seedlings, a need for reduced reforestation costs, and the inability of landowners to conduct pulpwood-dominated thinnings, most landowners should plant near 450 seedlings per acre. Here, landowners have more flexibility to adjust to market conditions. If pulpwood markets improve they can participate, but a “pulpwood” first thinning is not absolutely needed. Plus, entry into more valuable chip-n-saw and sawlog markets should occur sooner.
Article
Full-text available
The shape and structure of branches attached internally to the stem (knots) for loblolly pine (Pinus taeda L.) trees were modeled. Data on knot shape were obtained from the dissection of branches taken from 34 22-yr-old sample trees growing under ten different initial spacings. A total of 341 branches located below the live crown were dissected in the radial/tangential plane. Afterward, a procedure was implemented to reconstruct the branch diameter perpendicular to the branch pith. This information was used to develop a model for representing knot shape, which assumed that the live portion of a knot can be modeled with a one-parameter equation and the dead portion by assuming a cylindrical shape. To study the variability in shape of individual knots (live portion), the model was fitted to 218 branch profiles using nonlinear mixed-effects modeling techniques. A graphical analysis indicated that the random-effects parameter was related to branch diameter. Thus, branch diameter was included as a predictor variable to reduce between-individual variability in knot shape. Reconstructed knots with smaller diameters were more cylindrical; those with larger diameters were more parabolic or conical in shape. Analytical expressions were derived for estimating the volume of knots (live/dead portions) for three types of branch conditions on simulated trees: 1) live branches; 2) nonoccluded dead branches; and 3) occluded dead branches. The knot model assumes a substantial simplification of branch morphology, but should be useful for representing knots as 3-D entities in the stems of loblolly pine trees.
Article
Full-text available
Several studies have reported that in loblolly pine stands with high initial density, basal area declines after reaching maximum carrying capacity. This behavior is not reproduced by most basal area development models because the functions used are sigmoid and nondecreasing, tending toward an asymptote. We used a combined exponential and power function to model the impact of initial density on the basal area development of loblolly pine in a spacing trial. The combined exponential and power function is sufficiently flexible to describe both the asymptotic behavior of the wider initial spacing plots and the decrease in basal area after culmination of the closer spacings. We modified the original function to account for the time lag between stand establishment (age = 0) and basal area establishment (age textgreater 0), by allowing the origin of the function to be different than age = 0. Two final models are presented: a model fitted using the population-average (PA) approach and a model fitted using the mixed-effects (ME) approach. At the fixed-effects level, the PA and ME models are not equivalent, and, therefore, the appropriate model should be selected according to the availability of previous data and the objectives of the prediction. If previous observations are available, they can be used to improve the predictions using the ME model.
Article
Full-text available
The height growth of dominant trees in plantations is often assumed to be independent of initial planting density. This assumption allows for the use of dominant tree height as an index of site quality. We found that this assumption was false for the seven tallest trees in 184 even-aged loblolly pine (Pinus taeda L.) stands, planted at nine initial planting densities, at four different geographic locations. A strong, highly significant negative correlation was found between dominant height and initial planting density for stands 14 and 16 years of age. This leads to large differences in predicted site index for stands with different initial planting densities planted at the same geographic location. Use of these site indices to predict yield produced large differences in predicted yield (m(3)/ha) at age 25. These results provide strong evidence for density-dependent height growth, even for dominant trees in the stand, and suggest that site index, used as a measurement of site quality, is confounded with stand density.
Article
Full-text available
Spacing trials were established at four locations in the Piedmont and Coastal Plain regions of Virginia and North Carolina, USA, in 1983. The groundline diameter, later diameter at breast height, total height and crown height of each tree were measured annually for 8 years after establishment. Based on statistical analysis of the data, parameters of tree-size distribution such as the coefficient of variation (CV), the Gini coefficient (GC) and skewness were found to be significantly correlated with stand age and with number of trees per unit area. Some subtle differences were found among the distributions. The CV and GC of crown height decreased with both age and density (P-value less than 0.0001). However the CV and GC of diameter measurements and total height decreased with age, but increased with density. The negative relationship between the CV and stand age is partially due to the fact that the competition effects on variability were largely compensated for by tree growth (i.e. an increase in the value of the mean) in juvenile stands. Competition resulted in increased negative skewness. Kurtosis values were not found to be significantly different among densities, but kurtosis generally increased with stand age, ranging from slightly negative or zero for very young stands to positive for older stands. Normality can generally be assumed for diameter measurements, but not for total height, whose distributions deviate from normality with intensified competition. Increasing intertree competition resulted in distributions of crown height becoming more normal and those of crown width becoming less normal, indicating that trees tend to have a larger photosynthetic capacity when they are subject to competition. The dynamics of distribution parameters were related to the dominant tree heights and mean stand crown ratio.
Article
Full-text available
The effect of spacing rectangularity on tree growth and stand development was evaluated using tree data obtained annually from a loblolly pine (Pinus taeda L.) spacing trial monitored through age 16 years. In this trial, plots with an initial planting density of 2240 trees/ha occur at slightly and highly rectangular spacings. Spacings with rectangularities 3:4 and 1:3 were used to evaluate the rectangularity effect. Survival and the development of height, diameter, volume per hectare, and basal area per hectare of loblolly pine trees were not affected by rectangularity. Diameter and height distributions were found to be a function of age but not a function of the rectangularity of initial spacing. Crown width, however, was affected by rectangularity. The crown width was larger at larger row or column distance than at smaller row or column distance, but the ratio of crown widths between and within rows was not equal to the rectangularity of the original planting spacing.
Article
A non-systematic design is proposed for experiments on the spacing of crops, allowing the spacing to be varied in two dimensions on a factorial basis with a constant number of plants per plot. Main effects are confounded with rows and columns of a rectangular block, so that plots of different size and shape form a compact layout. An example illustrates the analysis of variance.
Article
Stand structure and crown architecture of loblolly pine (Pinus taeda L.) spacing trials in Hawaii and South Carolina were examined for attributes that would explain markedly different stockabilities (stand density per mean stand DBH), respectively, 1740 and 850 trees/ha at a quadratic mean stand DBH of 25 cm. In plots spaced at 2.4 X 2.4 m, these stockabilities produced 604 m3/ha at age 25 in Hawaii, and 297 m3/ha in South Carolina. Data collected in these stands indicate that stockability differences were associated with differences in tree size-class structure, crown length, and leaf area. Both stands were characterized by a two-tiered height structure, but the crown bases of trees in the subdominant class in Hawaii extended 1-2 m below the bases of the crowns of the dominant height class. In the South Carolina stands the crown bases of both height classes were at the same level. Green crown lengths in Hawaii were 4-7 m longer than in South Carolina, and the associated crown leaf area of 63.9 m2 was five times greater. The differences in stockability was attributed to the Hawaiian site and climate, which provide a long growing season, high solar radiation, high sun angle, favorable temperatures, and a favorable soil moisture regime and foliage nutrient status, and to a lack of significant insect and disease pests. The influence of genotype on stockability was not testable with these data.
Article
Crown efficiency was first defined by Assmann (1961. Waldertragskunde. BLV, München) as individual tree volume increment per unit of crown projection area. He hypothesized that within a given crown class, smaller crowns are more efficient because their ratio between crown surface and horizontal crown projection is higher. Data from a loblolly pine (Pinus taeda L.) spacing experiment were used to test if this hypothesis also holds in young loblolly pine stands and, if so, to determine if it explains the increment differences between spacings in the spacing experiment. Using individual tree height relative to plot dominant height to describe crown class, within-plot regression showed that crown efficiency decreased with crown size for trees below dominant height. This relationship was much less pronounced than indicated from Assmann's examples, although the crown surface to crown projection ratio behaved in the same way as Assmann had hypothesized. Crown efficiency as well as the crown surface to crown projection area ratio decreased with increasing density. Basal area increment per hectare increased until total crown closure approached 130% and then stayed constant. This major impact of total crown coverage brings into question the usefullness of crown efficiency as an indicator for unit area growth.
Article
Crown efficiency was first defined by Assmann (1961. Waldertragskunde. BLV, München) as individual tree volume increment per unit of crown projection area. He hypothesized that within a given crown class, smaller crowns are more efficient because their ratio between crown surface and horizontal crown projection is higher. Data from a loblolly pine (Pinus taeda L.) spacing experiment were used to test if this hypothesis also holds in young loblolly pine stands and, if so, to determine if it explains the increment differences between spacings in the spacing experiment. Using individual tree height relative to plot dominant height to describe crown class, within-plot regression showed that crown efficiency decreased with crown size for trees below dominant height. This relationship was much less pronounced than indicated from Assmann's examples, although the crown surface to crown projection ratio behaved in the same way as Assmann had hypothesized. Crown efficiency as well as the crown surface to crown projection area ratio decreased with increasing density. Basal area increment per hectare increased until total crown closure approached 130% and then stayed constant. This major impact of total crown coverage brings into question the usefullness of crown efficiency as an indicator for unit area growth.
Article
The effect of spacing rectangularity on tree stem quality was evaluated using data collected from a loblolly pine (Pinus taeda L.) spacing trial measured at age 19. In this trial, bole condition, branch size, and stem asymmetry were examined on plots with an initial planting density of 2240 trees/ha planted at slight (3:4) and greater (1:3) rectangular spacings to determine suitability for sawtimber production. Results indicated that rectangularity had no significant effect on survival or the number of potential sawtimber trees by age 19. While the 1:3 spacing treatment had a significantly larger maximum branch size than the 3:4 spacing treatment, it could not be attributed to the within-row or between-row direction. Additional measurements on stem diameter at breast height within and between rows failed to show stem asymmetry in the 1:3 spacing treatment. Consequently, rectangular spacings up to 1:3 should not have much impact on overall stem quality.