Height growth models of coastal low- and mid-elevation Pacific silver fir, low-elevation white spruce, and low- and midelevation
lodgepole pine have been used for predicting productivity of subalpine fir, Engelmann spruce, and lodgepole
pine, respectively. These models, however, are biased in predicting height growth of high-elevation subalpine fir, Engelmann
spruce, and lodgepole pine.
To improve this situation, 329 sample plots (165 for subalpine fir, 90 for Engelmann spruce, and 74 for lodgepole pine)
were located throughout the Engelmann Spruce-Subalpine Fir (ESSF) zone. Stem analysis was carried out on three
dominant trees in each 0.04 ha sample plot. For each study species, a height growth model was developed on the data
from two-thirds of the sample plots using the conditioned Chapman-Richards’ function; the model was validated using
the remaining one-third of the sample plots.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:BVAU.2429/768 |
| Date | January 1998 |
| Creators | Klinka, Karel, Chen, Han Y. H., Wang, Qingli, Chourmouzis, Christine |
| Publisher | Forest Sciences Department, University of British Columbia |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | text |
| Relation | Scientia Silvica extension series, 1209-952X, no. 15 |
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