Growth-simulation model for lodgepole pine in central Oregon.

Dahms, Walter G.

doi:10.2737/pnw-rp-302

Cited by 10 publications

(10 citation statements)

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“…Research has been carried out to disaggregate stand-level growth to individual trees for diameter (Leary et al 1979), basal area (Campbell et al 1979;Moore et al 1994), and volume (Dahms 1983;Zhang et al 1993).…”

Section: Proportional Growth Methodsmentioning

confidence: 99%

“…A method commonly used involved adjusting diameter predictions from individual-tree models such that the resulting stand basal area equaled that predicted by a whole-stand model (Harrison and Daniels 1988;Dhote 1994;Moore et al 1994;Stansfield 1994, 1995;Ritchie and Hann 1997a). Another approach dealt with constraining volume growth of individual trees (Dahms 1983;Zhang et al 1993). Ritchie and Hann (1997b) wrote an excellent review of the disaggregative approach, in which information obtained from an individual-tree model is used to disaggregate stand growth (which is predicted by a whole-stand model) among trees in the tree list.…”

Section: Introductionmentioning

confidence: 99%

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Using disaggregation to link individual-tree and whole-stand growth models

Qin¹,

Cao²

2006

Can. J. For. Res.

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Data from 200 plots randomly selected from the Southwide Pine Seed Source Study of loblolly pine (Pinus taeda L.) were used to fit whole-stand and individual-tree equations. Another 100 plots, also randomly selected, were used for validation. Outputs from the individual-tree model were then adjusted to match observed stand attributes (number of trees, basal area, and volume per hectare) by four disaggregation methods: proportional yield, proportional growth, constrained least squares, and coefficient adjustment. The first three are existing methods, and the fourth is new. The four methods produced similar results, and the coefficient adjustment was then selected as the method to disaggregate predicted stand growth among trees in the tree list. Results showed that, compared to the unadjusted individual tree model, the adjusted tree model performed much better in predicting stand attributes, while providing comparable predictions of tree diameter, height, and survival probability. The proposed approach showed promise in the ongoing effort to link growth models having different resolutions.

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Section: Proportional Growth Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Using disaggregation to link individual-tree and whole-stand growth models

Qin¹,

Cao²

2006

Can. J. For. Res.

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“…Thus, the functional disparity between these two may be obscured by the unity of apparent resolution. Examples of the whole-stand -disaggregative models have been described by Dahms (1983), Harrison and Daniels (1988), and Zhang et al (1993). Individual-tree -distance-independent models include Prognosis (Stage 1973), CACTOS (Wensel et al 1986), and ORGANON (Hann et al 1993).…”

Section: Introductionmentioning

confidence: 99%

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

Ritchie¹,

Hann²

1997

Can. J. For. Res.

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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. Résumé : Six modèles qui décomposent la croissance du peuplement et deux modèles de croissance d'arbre sont évalués pour leur capacité à prédire l'accroissement quinquennal en surface terrière des peuplements de Douglas taxifolié (Pseudotsuga menziesii (Mirb.) Franco) dans l'Ouest de l'Orégon. Les modèles d'arbre prédisent directement l'accroissement de l'arbre en diamètre alors que les modèles de croissance du peuplement prédisent directement l'accroissement brut du peuplement en surface terriè et len accriamètrarbre llemen de prsive et active sont évalués pour le double niveau de l'arbre et du peuplement. En général, l'approche par arbre est supérieure à celle du peuplement pour prédire la croissance de l'arbre et du peuplement. Néanmoins, cette supériorité s'atténue lorsque la longueur relative du houppier est éliminée des modèles d'arbre. Ce résultat suggère que certaines disparités entre les deux approches sont dues à la présence de la longueur relative du houppier dans les modèles d'arbre à recomposition passive. L'approche de décomposition additive semble la plus adéquate pour les peuplements juvéniles (âgés de moins de 50 ans). L'hypothèse de linéarité requise par cette approche de décomposition ne semble pas aussi valable dans les peuplements plus âgés avec des arbres plus gros. Les deux modèles de peuplement analysés qui font appel à la croissance brute sont inférieurs au modèle d'arbre pour prédire la croissance brute en surface terrière sur une période de temps. [Traduit par la Rédaction]

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“…In the proportional yield method, predicted tree basal area is adjusted to match predicted stand basal area (Clutter and Allison 1974, Clutter and Jones 1980, Pienaar and Harrison 1988, Nepal and Somers 1992, McTague and Stansfield 1994, 1995. The proportional growth method involves adjusting predicted tree basal area growth to match predicted stand basal area growth (Campbell et al 1979, Moore et al 1994, tree volume growth to match stand volume growth (Dahms 1983, Zhang et al 1993, or tree diameter growth to match stand diameter growth (Leary et al 1979). Qin and Cao (2006) evaluated four methods to link an individual-tree model and a whole-stand model by use of disaggregation.…”

Section: Review Of Methods For Linking Individual-tree Models and Whomentioning

confidence: 98%

Linking individual-tree and whole-stand models for forest growth and yield prediction

Cao

2014

For. Ecosyst.

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Background: Different types of growth and yield models provide essential information for making informed decisions on how to manage forests. Whole-stand models often provide well-behaved outputs at the stand level, but lack information on stand structures. Detailed information from individual-tree models and size-class models typically suffers from accumulation of errors. The disaggregation method, in assuming that predictions from a whole-stand model are reliable, partitions these outputs to individual trees. On the other hand, the combination method seeks to improve stand-level predictions from both whole-stand and individual-tree models by combining them. Methods: Data from 100 plots randomly selected from the Southwide Seed Source Study of loblolly pine (Pinus taeda L.) were used to evaluate the unadjusted individual-tree model against the disaggregation and combination methods. Results: Compared to the whole-stand model, the combination method did not show improvements in predicting stand attributes in this study. The combination method also did not perform as well as the disaggregation method in tree-level predictions. The disaggregation method provided the best predictions of tree-and stand-level survival and growth.

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Growth-simulation model for lodgepole pine in central Oregon.

Abstract: Summary

Cited by 10 publications

References 0 publications

Using disaggregation to link individual-tree and whole-stand growth models

Using disaggregation to link individual-tree and whole-stand growth models

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

Linking individual-tree and whole-stand models for forest growth and yield prediction

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