| Summary: | Predicting stand structure through time is a challenge in all aspects of forest management. Predictions
in multi-cohort, mixed species, or1 spatially varied stands have mostly been based on field experience
and have not been clearly quantified. The main hypothesis of this thesis is that the regeneration and
small tree height growth components of the Northern Idaho variant of the growth and yield model
Prognosis, can be calibrated for use in the stands of the southern interior of BC.
The original equation forms of Prognosis Nl were applied to data collected in stands of the Columbia -
Shuswap moist warm Interior Cedar - Hemlock variant of the Interior Cedar Hemlock moist warm
subzone (ICHmw2 of the Biogeoclimatic Ecosystem Classification system of BC) in the vicinity of
Nelson, BC. The same forms were then re-fitted with the Nelson data, and finally, other model forms
were applied to Nelson data. In all cases, the original fitted equations in Prognosis Nl were
outperformed by either the refitted equations or equations with Nelson-based variables.
The equations presented in this thesis are a valid start to the calibration of regeneration and small tree
height growth models Prognosis80. Some issues need to be addressed for model improvements.
Prognosis Nl was not developed in BC and it uses a different ecosystem classification. Although
correspondences have been made between BC site series and Idaho habitat types, the two systems
are different, and so are the sites. These differences contribute to errors in model predictions. The
data set used for developing Prognosis Nl was much larger than the data collected around Nelson.
Some data categories used in the Prognosis model had more predictor variables than the number of
observations in the corresponding data category in the Nelson data set. This lack of data resulted in
non-robust models. :|"
Despite these issues, the equations resulting from this calibration process improve the estimates of
small tree height growth and regeneration in multi-cohort or mixed species stands in the southern
interior of BC. Prior to the calibration efforts of Prognosis60, no quantitative tools were in place to aid
silviculturists for predictions in these stands. Although these predictions are not completely accurate,
they can serve as guidelines, to supplement field experience, for making predictions.
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