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Growth Model Users Group Growth Model Run-off II

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The objective was to test the effect of growth model and user combinations on ... GMUG Poll indicated that most users rely on their growth models for both ... – PowerPoint PPT presentation

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Title: Growth Model Users Group Growth Model Run-off II


1
Growth Model Users GroupGrowth Model Run-off II
2
History
  • GMRO I was conducted in 2002.
  • The objective was to test the effect of growth
    model and user combinations on the projections of
    three predominately Douglas-fir stands.
  • 7 models CRYPTOS, DFSIM, FPS, FVS, ORGANON, SPS,
    and TADAM were tested, using 11 different
    versions.
  • 16 users contributed results.

3
History
  • Some observations on the results
  • Region effects are very large. FVS in
    particular can more than double volume between
    regions.
  • There was significant variation among users
    running the same model and version.
  • All models maintain a remarkably consistent
    relationship between stand height and volume
    (Eichorns Rule).
  • CRYPTOS (an out-of-growing-region model)
    projections were very similar to northern growth
    models.

4
GMRO II
  • A proposal to examine common Douglas-fir growth
    model performance for the following scenarios
  • Commercial thinning
  • Nitrogen fertilization
  • Thinning and fertilization

5
Why Do This?
  • GMUG Poll indicated that most users rely on their
    growth models for both biologic and economic
    evaluation of treatment effects.
  • There is a long history of thinning studies in
    Douglas-fir and the effects of thinning are
    thought to be understood.
  • Yet, thinning effects in many models require
    modifiers to component growth equations,
    indicating that the empirical models are not
    sufficient as-is to predict post-thinning growth.
  • N fertilization also has a long history in the
    PNW. Region-wide response has been well
    documented in the literature.
  • However, analyses of response at the tree level
    (required to incorporate fertilization into tree
    list models) has not been well documented. The
    translation of increased nutrient availability to
    growth in tree dimensions is not well modeled
    empirically.
  • Both of these treatments leave a lot of room for
    the modeler to define response relationships.
    Their decisions may have important impacts on
    growth yield.

6
Questions
  • What models should be tested?
  • How many stands should we project (variation over
    site quality, density)?
  • What growth reporting intervals should we use
    and how long should the projection run?
  • Who should run the projections (users, modelers,
    both)?
  • What should be compared (volume, height, Dq,
    basal area, crown ratio, trees per acre, diameter
    distributions)?

7
Questions
  • Treatments
  • Thinning
  • What d/D?
  • What thinning intensity (single, multiple)?
  • Should we specify the thinned trees or leave it
    to the person running the model?
  • Fertilization
  • What dosage (200 lbs N/acre)?
  • How many applications?
  • What re-application interval?

8
Incentive?
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