Empirical growth and yield models for forest management are evolving toward
individual-tree models that are capable of simulating the growth of mixed
and uneven-aged stands. Spatially explicit (i.e., distance-dependent) model
s usuary modify the growth of trees by means of competition indices; howeve
r, these competition indices rarely simulate the light available for tree g
rowth explicitly. We used tree growth data from an even-aged, unthinned, 50
-year-old Douglas-fir (Pseudotsuga menziesii (Mirb.) France) stand in Briti
sh Columbia to test the hypothesis that the amount of absorbed light is a g
ood predictor of diameter at breast height, height, and bole volume growth
of an individual tree. We also explored the relationships between these var
iables. A spatially explicit light model was used to simulate photosyntheti
cally active radiation absorbed by individual trees during a growth period
(APAR) based on detailed canopy architecture information. For the purpose,
we used a weighted leaf area (WLA) that is linearly related to APAR. Becaus
e of the integration of light absorption by a tree crown, estimates of WLA
were highly correlated with leaf area for dominant trees. For suppressed tr
ees, leaf area was a poor estimator of WLA. The relationship between WLA an
d bole volume growth was nonlinear, indicating a higher light-use efficienc
y in suppressed trees than in dominant trees. This relationship was strong
enough to be useful for growth modeling. Only height growth of suppressed t
rees was affected by WLA. We conclude that single-tree WLA can be used as a
process-oriented competition index in growth models for forest management.