Current scientific concerns regarding the impacts of global change include
the responses of forest composition and biomass to rapid changes in climate
, and forest gap models have often been used to address this issue. These m
odels reflect the concept that forest composition and biomass in the absenc
e of large-scale disturbance are explained by competition among species for
light and other resources in canopy gaps formed when dominant trees die. S
ince their initiation 25 yr ago, a wide variety of gap models have been dev
eloped that are applicable to different forest ecosystems all over the worl
d. Few gap models, however, have proved to be equally valid over a wide ran
ge of environmental conditions, a problem on which our work is focused.
We previously developed a gap model that is capable of simulating forest co
mposition and biomass in temperate forests of Europe and eastern North Amer
ica based on a single model structure, In the present study, we extend the
model to simulate individual tree species response to strong moisture seaso
nality and low temperature seasonality, and we modify the widespread parabo
lic temperature response function to mimic nonlinear increases in growth wi
th increased temperature up to species-specific optimal values.
The resulting gap model, FORCLIM V2.9, generates realistic projections of t
ree species composition and biomass across a complex gradient of temperatur
e and moisture in the Pacific Northwest of the United States. The model is
evaluated against measured basal area and stand structure data at three ele
vations of the H. J. Andrews LTER site, yielding satisfactory results. The
very same model also provides improved estimates of species composition and
stand biomass in eastern North America and central Europe, where it origin
ated. This suggests that the model modifications we introduced are indeed g
eneric.
Temperate forests other than those we studied here are characterized by cli
mates that are quits similar to the ones in the three study regions. Theref
ore we are confident that it is possible to explain forest composition and
biomass of all major temperate forests by means of a single hypothesis as e
mbodied in a forest gap model.