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Modeling Crown Characteristics of
Loblolly Pine Trees
Modeling Crown Characteristics of
Loblolly Pine Trees
Harold E. BurkhartHarold E. BurkhartVirginia TechVirginia Tech
Outline
• Importance of crown measures
• Review two studies aimed at modeling loblolly pine crowns
– Measurements– Modeling methods
• Challenges and opportunities
Context
Loblolly Pine Plantations Managed for Wood Production
Variety of Products Intensive Silviculture• Pulpwood
• Sawtimber
• Peelers
• Poles
• Genetic selection
• Vegetation control
• Fertilizer applications
• Thinning (and possibly pruning) treatments
Crown characteristics important for:
• Making genetic selections– Crown width, branch size and angle
• Estimating response to silvicultural treatments
– Thinning, fertilizer
• Quantifying wood quality– Number, size, location of branches
Loblolly pine crowns are highly variable
Typically 2-5 whorls per year
Most commonly used crown variable crown ratio
Plot MeasurementsIndividual trees• Dbh• Total height• Height to base of crown
StandAge, site index, stand density, etc.
Model height to crown base or crown ratio
CR = 1 – exp (-())
CR constrained between 0 and 1
() is a function of tree and stand attributes
Crown Development
From: Liu, et al. 1995. For. Sci. 41:43-53.
Thinning Response Modifier
From: Liu, et al. 1995. For. Sci. 41:43-53.
I = BAa/BAb
More Detailed Descriptions of Tree Crowns
Approximate with geometric shapes
Model crown shape
Model crown morphology (branch diameter, location, angle, and length)
Efforts to Model Loblolly Pine Crown Morphology
Southern Global Change Project1990s
Subsequent work focused on wood quality modeling
Development of a Static Model of Loblolly Pine Crowns
1. Quantify foliage distribution
2. Model number, size, location of branches
3. Provide link between G&Y and process model
Southern Global Change Program
Felled sample trees across a range of stand ages and densities
28 in Virginia Piedmont40 in North Carolina Coastal Plain
Field Measurements
Tree Characteristics
1. DBH and diameter at base live crown
2. Total height and height to base live crown
3. Stump age and age at base live crown
4. Crown class
Summary of Measurements
Branch Characteristics
1. Height above ground to each branch
2. Diameter of each branch
3. Azimuth of each branch
4. Total length of the branch
5. Angle of the branch
Detailed measurements on a sample of
branches
Mapping foliage distribution in X-Y-Z space
Foliage divided into inner, middle, and outer thirds
Modeling Branches
• Total number of branches
• Diameter distribution of branches
• Vertical location of whorls
• Number of branches per whorl
• Circular location of branches in each whorl
• Branch length
• Branch angles
AnalysisTotal Number of Branches
Recursive system involving number of whorls and number of branches
No. whorls = 3.93 + 0.43 (dbh) + 0.94 (crown length)
No. branches = 7.29 + 2.26 (No. whorls)
Diameter Distribution of BranchesModel average, minimum, and maximum branch diameters as functions of dbh and
whorl height
Vertical Location of BranchesAssumed fixed spacing of whorls
Number of Branches in a WhorlUtilize overall percentages and random assignment
No. branches Percent of total whorls
1 19
2 28
3 29
4 15
5 6
6 2
7 1
Total Branch Length
Model total branch length as afunction of branch diameter
))diameterbranch(20.1-(e55.16+158.3
Total branch
length=
Branch Angle
Model branch angle from vertical as afunction of relative whorl height
Branch angle = 64.7 – 28.47 (relative whorl height)2.73
Circular Patterns of Branches
• Use circular statistics to examine rotational patterns of branches in consecutive whorls
• Found for consecutive whorls with the same number of branches, a positive rotation exists
Doruska and Burkhart. 1994. CJFR 24:2362-2376.
Doruska and Burkhart. 1994. CJFR 24:2362-2376.
Foliage Weight and Surface
Area Distributions
From: Baldwin, et al. (1997) CJFR 27:918-927.
Foliage Distribution Used inLinked Model
PTAEDA2Growth & Yield Model
MAESTROProcess Model
From: Baldwin, et al. (2001) For. Sci. 47:77-82.
SI = b1 (log(A2) – log (A1))
+ b2 (NPS2 – NPS1)
+ b3 (1/N2 – 1/N1)
BiasObserved Predicted
ft3/ac. m3/ha ft3/ac. m3/ha ft3/ac. m3/ha
4891 342.2 4284 299.8 4875 341.1
No SIAdjustment
SI Increase
Dynamic Model of Knot Size, Frequency, and Distribution
Sampling of whorlsLongitudinal data from a spacing study
214 whorl sections
January 2005
• DBH• TH• Stem height and diameter of every visible whorl
Stem dissection techniqueRecovering information on knot morphology and branch development
Branch dissection
Ring widthMarch-May 2005
Results
• Vertical trend of branch diameters and location along and around the stem
• Model of knot shape
• Volume of knots (live/dead portions)─ live branches─ non-occluded dead branches─ occluded dead branches
• Branch model linked to growth and yield model (PTAEDA)
Model of Live Portion of Knots
)(K=Rr
L2
2l
r = radius at length l
R = maximum radius
L = total length
From: Trincado and Burkhart. (2008) Wood and Fiber Sci. 40:634-646.
Branch Model
From: Trincado and Burkhart. 2009. Can. J. For. Res. 39:566-579.
Number of Whorls
From: Trincado and Burkhart. 2009. Can. J. For. Res. 39:566-579.
Multicategory logistic regression (h)
From: Trincado and Burkhart. 2009. Can. J. For. Res. 39:566-579.
Location of Whorls
No predictive equation possible
Used observed relative mean location
Number of Branches per Whorl
Stochastic procedure using double-truncated Poisson distribution with a,b = minimum and maximum number of branches per whorl observed
Branch Orientation around the Stem
Adapted methods of Doruska and Burkhart (1994)
Angle of Branch Inclination
Generated by sampling from a three-parameter Weibull distribution
Initial Branch Diameter
Assigned from a three-parameter Weibull distribution
Diameter Growth of First-Order Branches
BD = 0.780BL0.827 exp(-1.53RCH)
Link to Growth and Yield ModelPTAEDA
Challenges and Opportunities
• Determining which crown characteristics affect response to silvicultural treatment
• Modeling crown response to silviculture
Mass Control Pollinated
Challenges and Opportunities
ClonalOpen pollinated
Developing Models for a Rangeof Genetic Stocks
Four-Year-Old Planting of aLoblolly Pine Clone
Land ClassificationSoil Mapping System
GIS-Based Precision
Silviculture
Remote Sensing of LeafArea and Plantation Health
Thanks!
Questions?