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Evaluation of individual-tree and disaggregative prediction methods for Douglas-fir stands in western Oregon Public Deposited

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https://ir.library.oregonstate.edu/concern/articles/v405s983d

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  • The efficiency of six disaggregative methods and two individual-tree methods was evaluated in terms of their ability to predict 5-year basal area increment for Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) stands in western Oregon. Models were developed for predicting gross stand basal-area increment and individual-tree diameter increment. In addition, models were developed to disaggregate the active increment prediction methods to the tree level. Passive and active prediction schemes were evaluated for both the tree and stand levels. Generally, the individual-tree approach was superior to the disaggregative approach for prediction of both stand and tree growth. This was less evident, however, when crown ratio was eliminated from the individual-tree models. This suggests that at least some of the disparity between the two is due to the presence of crown ratio in an individual-tree passive aggregation approach. The additive disaggregation approach appeared to be best suited to young stands (less than 50 years of age). The linearity assumption required for this particular model appeared to be violated for older stands with larger trees. Generally, the two whole-stand, gross-growth models used in this study were inferior to the individual-tree method for predicting gross basal area growth for one period.
  • Keywords: individual-tree prediction methods, basal-area increment, disaggregative prediction methods, tree growth, stand growth, crown ratio, Douglas-fir (Pseudotsuga menziesii)
  • Keywords: individual-tree prediction methods, basal-area increment, disaggregative prediction methods, tree growth, stand growth, crown ratio, Douglas-fir (Pseudotsuga menziesii)
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  • Ritchie, Martin W., and David W. Hann. 1997. Evaluation of individual-tree and disaggregative prediction methods for Douglas-fir stands in western Oregon. Canadian Journal of Forest Research 27(2): 207-216.
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  • 27
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  • 2
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