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Developing a Whole-stand Model for Douglas-fir Plantations

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Title: Developing a Whole-stand Model for Douglas-fir Plantations


1
Developing a Whole-stand Model for Douglas-fir
Plantations
  • Eric C. Turnblom
  • Samuel D. Pittman

2
Whole-stand Model Topics
  • Introduction
  • Model Development
  • Biological / Model Theory
  • Equations / Data / Fitting
  • Fit Assessment / Model evaluation
  • Model Uses Future Work
  • Conclusion

3
Introduction
  • Stand Management Cooperative
  • Mission
  • To provide a continuing source of high-quality
    information on the long-term effects of
    silvicultural treatments and regimes on stand and
    tree growth and development and on wood and
    product quality

4
Introduction
  • Stand Management Cooperative
  • Objectives
  • To support modeling
  • Installations contain a wider range of treatments
    than current practice
  • To support managers
  • Provide timely information and guidance to those
    who are managing similar stands

5
Stand Management Cooperative
  • Membership
  • Companies Boise Cascade, Longview Fiber, Port
    Blakely Tree Farms, West Fork Timber, etc. (15 in
    total)
  • Tribal Lands Quinault Dept. Natural Resources
  • Federal Agencies Bureau of Land Management
  • State County Agencies ODF, WA DNR, King Co.
    DNR
  • Institutions BC Ministry Of Forests, FORINTEK
    Canada, USFS PNW Research Station
  • Universities OSU, UBC, UW
  • Suppliers Agrium UJS, Inc., JR Simplot Co., etc.

6
Stand Management Cooperative
  • Organization
  • Policy Committee (chair, vice-chair)
  • Director
  • Projects, Field Crew, Database Management, Office
    Staff
  • Project (Technical Advisory Committees, or TACs)
  • Nutrition
  • Silviculture
  • Wood Quality
  • Modeling

7
Stand Management Cooperative
  • Whats measured
  • Tree and derived Stand Attributes
  • Live Species, DBH, Height, height-to-crown base,
    crown width, damage
  • Dead size condition of snags until fallen
  • Branch Measurements (BH)
  • Largest Branch diameter, branch count (live
    dead)
  • Understory Vegetation
  • Average foliage height, coverage () by species

8
Stand Management Cooperative
  • Whats Measured
  • Habitat Indicators
  • Depth of duff to mineral soil, FSD ()
  • Site Characterization
  • Soil
  • 0 - 6, 6 - 12 composited from five sample
    points per plot
  • Forest Floor
  • 1 sq. ft plots, four per measurement sample plot
  • Foliar Nutrients
  • Upper 1/3 of crown, 1 year after fertilization,
    12 trees per plot

9
Stand Management Cooperative
  • History
  • Regional Forest Research Nutrition Project
    (RFNRP)
  • Commenced in 1969 (western WA, OR)
  • Stand Management Cooperative (SMC)
  • Formed 1985, 1st operational year 1986
  • Western WA, OR, southwestern BC
  • In 1991, RFNRP rolled into SMC Nutrition Project

10
Stand Management Cooperative
  • Cohorts
  • RFNRP
  • Phase I Unthinned natural stands, originating
    1930s
  • Phase II Thinned natural stands, originating
    1930s
  • Phase III Young thinned plantations, planted
    1940s
  • Phase IV Precommercially thinned plantations
    1960s
  • SMC
  • Type I Variously treated plantations 1970s
  • Type II Variously thinned plantations 1950s
  • Type III Range of planting spacings late 80s
    - 90s
  • Type IV Range of planting spacings, genetics
    2Ks

11
Introduction
  • Study Modeling Objectives
  • Benchmark existing growth simulators
  • Summarize early growth development of immature,
    managed stands of Douglas-fir
  • Investigate and understand the influence of stand
    structure on growth and yield
  • Produce variable-density growth and yield tables
    in user-friendly format

12
Whole-stand Model for Douglas-fir
  • Model Development
  • Biological / Model Theory
  • Equations / Data / Fitting
  • Fit Assessment / Model evaluation
  • Model Uses Future Work
  • Conclusion

13
Model Development
  • Biological Theory
  • Growing space
  • As available space decreases, so does potential
    for growth
  • Allometric relationships
  • Relate growth in part of an organism to another
    part
  • Maximum (limiting) size - density relationships
  • Only so much biomass can be packed into
    available space

14
Biological Theory
  • Maximum (limiting) size density relationship

(Xue, et al. 1999)
15
Biological Theory
  • Every stand has a unique self-thinning boundary
    line driven by its unique stand allometry

(Turnblom Burk 2000)
16
Biological Theory
  • Stand allometry is dynamic, not static
    allometric relationships change with stage of
    development
  • The rate at which a stand variable changes is
    found by differencing gross growth respiration
    (anabolic catabolic processes, respectively)
  • The magnitudes of the anabolic and catabolic
    processes depend on the current state of the
    stand and is affected by site quality

17
Model Theory
  • The current state of the stand can be described
    by the triplet (stand basal area, quadratic mean
    DBH, and dominant height)
  • Dynamic allometry is captured through
    simultaneous, coupled rate equations

18
Model Equations
19
Model Fitting Data
  • Untreated, pure DF (gt 80 by BA) plots
  • Initial BHA averaged 14 years, ranging to 51
    years
  • Site index from 85 to 145 ft _at_ 50 yrs BHA (King)
  • 459 plots total 249 used in fitting, 210 for
    benchmarking
  • Measured every 4 yr, ranging 1 to 6, averaging
    4.4
  • Single plot measurements span 4 to 26 yrs

20
Model Fitting Parameterization
  • First order, centered differencing used to create
    a differential data set matching a yield data set
    constructed from mid-point of yield values
  • System of three equations was fit to the data
    using the objective function

21
Fit Evaluation
  • Residual graphs were examined
  • Visual quality of predicted trajectories were
    assessed for agreement with known biological
    behaviors
  • Attempts were made to augment the system of
    equations with other system state variables (e.g.
    stand form)

22
Fit Evaluation
  • Residual plotting

23
Fit Evaluation
  • Residual plotting

24
Model Evaluation
  • Results - biological behavior
  • Growth yield dynamics on two sites
  • High site (dashed) SI 145
  • Low site (solid) SI 85
  • Otherwise similar in Q, B, H, Age

25
Model Evaluation
  • Biological behavior

26
Model Evaluation
  • Biological behavior

27
Model Evaluation
  • Biological behavior

28
Model Evaluation
  • Trajectory behavior

29
Whole-stand Model for Douglas-fir
  • Model Uses Future Work
  • Conclusion

30
Model Uses Future Work
  • Boundary conditions to individual-based or
    tree-list models
  • TreeLab (v1.0)
  • Variable-density yield simulator for immature,
    managed Douglas-fir plantations
  • Site productivity evaluation modeling in
    management-oriented and process-based growth
    model hybrids (proposal to USFS / AFPA collab.)

31
TreeLab (v1.0)
32
TreeLab (v1.0)
33
Site productivity modeling
  • This proposed research seeks to
  • Better understand mechanisms driving forest
    growth productivity in young DF stands
  • Examine interpret association between
    environmental HydroGeoMorphic attributes of a
    site / stand and parameters of the TreeLab
    whole-stand model
  • High potential to derive a site-characterization
    parameter to augment site index

34
Conclusion
  • Whole-stand Model propositions
  • Unique self-thinning boundary for each stand
  • Stand allometry is dynamic, not static
  • Changes in stand attributes are represented as a
    coupled system of rate equations that govern
    allometry
  • Whole-stand model with the most plantation data
  • Young data set (for stand development)
  • Based on assumed maximums (BA, QMD and Htop)

35
Conclusion
  • Please visit lthttp//www.standmgt.org/gt
  • To download, click on the TREELAB link (LHS)
  • Eric C. Turnblom ltect_at_u.washington.edugt
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