Deriving a tree growth model from any existing stand growth model

169-174

Artikel aus einer Zeitschrift

200209944

Canadian Journal of Forest Research 2021, 51(2) ; Jrg. 51 ; 2 (2021) , 169-174

In this study, a new method was developed to derive a tree survival and diameter growth model from any existing
stand-level model, without the need for individual-tree growth data. Predictions from the derived tree model are constrained to match the number of trees and the basal area per hectare as outputted by the stand model. The tree models derived from three different stand models were evaluated against a tree model, in both unadjusted and disaggregated forms. For the same stand-level model, the derived tree model outperformed its counterpart, the disaggregated tree model. Furthermore, except for one stand model with poor performance, the tree models derived from the remaining two stand models delivered results comparable to those obtained from the unadjusted tree model. The tree model derived from one stand model even performed slightly better than the unadjusted tree model. This result is significant because the coefficients of the unadjusted and disaggregated tree models had to be estimated from tree-level growth data, whereas the derived tree model required no tree growth data at all. The methodology presented in this study should be applicable when there is no ingrowth or recruitment of new trees.
Key words: disaggregation, individual-tree model, least squares, seemingly unrelated regression