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Modeling Tree Growth Under Varying Silvicultural Prescriptions

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Modeling Tree Growth Under Varying Silvicultural Prescriptions . Leah Rathbun University of British Columbia Presented at Western Mensurationists 2010. Location. Coastal Western Hemlock (CWH) BEC zone Temperatures - 5.2 to 10.5˚ C - PowerPoint PPT Presentation
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Modeling Tree Growth Under Varying Silvicultural Prescriptions Leah Rathbun University of British Columbia Presented at Western Mensurationists 2010
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Page 1: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Modeling Tree Growth Under Varying Silvicultural Prescriptions

Leah RathbunUniversity of British Columbia

Presented at Western Mensurationists 2010

Page 2: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Location• Coastal Western Hemlock

(CWH) BEC zone• Temperatures - 5.2 to 10.5˚

C • Second growth uneven-

and even-aged multi-species stands regenerated naturally and from plantings.

• Western hemlock, Douglas-fir, western redcedar, red alder, Sitka spruce and yellow cedar

Page 3: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Box-Lucas Model

Developed from Von Bertalanffy function

Flexible model form

dbhfdbhfff

fkDinc 12

21

11 expexpˆ

Page 4: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Database for Diameter Growth• Permanent Sample Plot (PSP) data • 1,455 untreated plots • 0.008 to 0.806 ha • 1932 to 2003• Varying intervals - 1 to 17 years, average of 5.0

years• 13 to 11,750 live trees per hectare• Site Index values from 6.2 to 52.8 m• Average basal area per hectare value of 38.7

m2/ha

Page 5: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Parameter Prediction Approach

• Data was subset to obtain estimates for f1 and f2 for a species

• Subset defined from untreated data containing at least 4 measurement periods.

• Different combinations of predictor variables were used, based upon correlation values

• Linear, log-linear, and nonlinear equations• AIC values were used to select model forms• Box-Lucas model was refit using the resultant

parameter estimates as starting values.

Page 6: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Variable Selection

Tree size and stage of development, site productivity, and inter-tree competition were considered:

•dbh, height, and diameter increment•Site index and growth effective age •Curtis’ relative density and basal area per hectare•Basal area of larger, stems per hectare, relative dbh, crown competition factor of larger

Page 7: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Selected Diameter Model

Douglas fir:

Cedar:

Hemlock:

dbhfdbhfff

fkDinc 12

21

11 expexpˆ

)lnexp 8654101 SpHaRDBHaGEAaSIa(dbh)a(af

))ln(exp( 876543102 SpHbCurtisRDbRDBHbGEAbSIbBALbdbhbbf

))ln(exp( 6532101 RDBHaGEAaBALaGadbhaaf

))ln(exp( 65102 RDBHbGEAbdbhbbf

))ln(exp( 653101 RDBHaGEAaBALadbhaaf

)SpHbRDBHbGEAbGb)dbhln(bbexp(f 8652102

Page 8: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Untreated trees

Douglas-fir

Hemlock

Cedar

Page 9: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Fertilization Effects• 85 plots received fertilization• Majority received one application of

nitrogen ranging in concentration from 50 to 400 kg/ha

• A few plots additionally received ammonium phosphate.

Page 10: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Fertilization Effects

• All three parameters were modified individually • Each possible combination of the three

parameters were modified • Akaike’s Information Criteria (AIC) values used

to select final model

dbhfdbhfff

ffDinc 3443

35 expexpˆ

F924 time

Fbexpff

FtimeFaff 913 exp

FtimeFckf 15

Page 11: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Fertilization Effects

For Douglas fir and cedar:

And for hemlock:

FtimeFaff 913 exp

FtimeFbff 924 exp

15 kf

FtimeFckf 15

Page 12: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Fertilized

Douglas-fir

Hemlock

Cedar

Page 13: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Thinning Effects

• 419 plots received a thinning event• Average basal area cut was 8.2 m2/ha• Average of 892 trees per hectare was

removed• Original model was fit using parameter

estimates found from untreated data • State variables changed immediately

following a thin

Page 14: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Thinned

Douglas-fir

Hemlock

Cedar

Page 15: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Fertilized and Thinned Effects

• 93 plots received a combination of a thinning followed by fertilization

• Fertilization was applied within the measurement period following thinning

• Fertilized model was fit using parameter estimates found from fertilized data

• State variables changed immediately following a thin

Page 16: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Fertilized & Thinned

Douglas-fir

Hemlock

Cedar

Page 17: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Database for Height Growth• 1,316 untreated plots • 0.008 to 0.253 ha • 1932 to 1996• Varying intervals - 1 to 30 years, average of 4.8

years• 222 to 11,750 live trees per hectare• Site Index values from 10.7 to 52.8 m• Average basal area per hectare value of 38.1

m2/ha

Page 18: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Potential Height Model• Data selection

– Binning by dbh (90th and 99th percentiles)– Predicted values approach

• Box-Lucas model fit using dbh and a transformation of dbh in a linear model for f1 and f2

• Predict 90th and 99th percent confidence interval, upper value

• Fit Box-Lucas model using dbh and a transformation of dbh in a linear model for f1 and f2

Page 19: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Potential Height Model

Binning approach:- f1: dbh0.5 for Douglas-fir and ln(dbh) for cedar and hemlock- f2: dbh2 for Douglas-fir and cedar and ln(dbh) for hemlockPredicted values approach:- f1: dbh2 for Douglas-fir and ln(dbh) for cedar and hemlock- f2: dbh2 for Douglas-fir and cedar and ln(dbh) for hemlock

heightfheightfff

fkH 1incP 1221

1 expexp

)SIadbhadbha(aexpf 3dtransforme2101 )SIbdbhbdbhb(bexpf 3dtransforme2102

Page 20: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Potential height

Douglas-fir

Western hemlock

Western redcedar

Page 21: Modeling Tree Growth Under Varying Silvicultural Prescriptions

• Douglas-fir

• Cedar

• Hemlock

Average Height ModelGrowth Potential Dependent

incPinc H*MH

CurtisRDcRDBHcGEAcSIcBALcGccM 7654320

CurtisRDcSIcBALcGcdbhccM 743210

CurtisRDcRDBHcGEAcSIcBALcGcdbhccM 76543210

Page 22: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Average Height ModelGrowth Potential Independent

Douglas fir:

Cedar:

Hemlock:

dbhfdbhfff

fkDinc 12

21

11 expexpˆ

)lnexp 8654101 SpHaRDBHaGEAaSIa(dbh)a(af

))ln(exp( 876543102 SpHbCurtisRDbRDBHbGEAbSIbBALbdbhbbf

))ln(exp( 6532101 RDBHaGEAaBALaGadbhaaf

))ln(exp( 65102 RDBHbGEAbdbhbbf

))ln(exp( 653101 RDBHaGEAaBALadbhaaf

)SpHbRDBHbGEAbGb)dbhln(bbexp(f 8652102

Page 23: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Average height

Douglas-fir

Hemlock

Cedar

Page 24: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Fertilization Effects

• 82 plots received fertilization• All three parameters were modified individually • Each possible combination of the three

parameters were modified • Akaike’s Information Criteria (AIC) values used

to select final model

dbhfdbhfff

ffDinc 3443

35 expexpˆ

F924 time

Fbexpff

FtimeFaff 913 exp

FtimeFckf 15

Page 25: Modeling Tree Growth Under Varying Silvicultural Prescriptions

FertilizedDouglas-fir

a)Low site quality, low density

b)High site quality, low density

c)High site quality, high density

Page 26: Modeling Tree Growth Under Varying Silvicultural Prescriptions

FertilizedHemlock

a)Low site quality, low densityb)Low site quality, high densityc)High site quality, low densityd)High site quality, high density

Page 27: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Thinning Effects

• 388 plots received a thinning event• Average basal area cut was 7.6 m2/ha• Average of 988 trees per hectare was

removed• Original model was fit using parameter

estimates found from untreated data • State variables changed immediately

following a thin

Page 28: Modeling Tree Growth Under Varying Silvicultural Prescriptions

ThinnedDouglas-fir

a)Low site quality, low densityb)Low site quality, high densityc)High site quality, low densityd)High site quality, high density

Page 29: Modeling Tree Growth Under Varying Silvicultural Prescriptions

ThinnedCedar

a)Low site quality, low density

b)High site quality, low density

c)High site quality, high density

Page 30: Modeling Tree Growth Under Varying Silvicultural Prescriptions

ThinnedHemlock

a)Low site quality, low density

b)High site quality, low density

c)High site quality, high density

Page 31: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Fertilized and Thinned Effects

• 92 plots received a combination of a thinning followed by fertilization

• Fertilization was applied within the measurement period following thinning

• Fertilized model was fit using parameter estimates found from fertilized data

• State variables changed immediately following a thin

Page 32: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Fertilized & ThinnedDouglas-fir

a)Low site quality, low densityb)Low site quality, high densityc)High site quality, low densityd)High site quality, high density

Page 33: Modeling Tree Growth Under Varying Silvicultural Prescriptions

a)Low site quality, low densityb)Low site quality, high densityc)High site quality, low densityd)High site quality, high density

Fertilized & Thinned

Hemlock

Page 34: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Conclusions• Box-Lucas model works well • Silvicultural treatments applied to managed

stands, not experimentally designed study• The adjustments added for fertilization

worked well • Modification of state variables only modeled

the effects of thinning well for Douglas-fir • Separate models are recommended for

potential and average height

Page 35: Modeling Tree Growth Under Varying Silvicultural Prescriptions

Acknowledgements

• Dr. Valerie Lemay• Dr. Nick Smith• Dr. Peter Marshall• Dr. Lori Daniels• Ken Epps and Island Timberlands• FVS group at the U.S. Forest Service


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