The Geometric Mean Regression Line: A Method for Developing Site Index Conversion Equations for Species in Mixed Stands
Abstract:Models that provide analysts with the ability to predict the site index of one species in a mixed stand from the site index of a cohort are useful for site quality evaluation, growth and yield modeling, and timber management planning. A simple compatible system is needed to perform site index conversions, and thus linear regression is an unsuitable technique. In this study, a single-equation compatible system is developed using the geometric mean regression (GMR) line. The properties of the GMR line make it well suited for site index conversion equations. The GMR methodology was applied to mixed coastal Douglas-fir (Pseudotsuga menziesii [Mirb.] Franco)/western hemlock (Tsuga heterophylla [Raf.] Sarg.) and interior white spruce (Picea glauca [Moench] Voss)/lodgepole pine (Pinus contorta var. latifolia Dougl.) stands in British Columbia. Validation shows that these relationships are unbiased and expedient. Careful attention must be used when determining the suitability of Stands to which the relationship is applied. For. Sci. 41(1): 84-98.
Document Type: Journal Article
Affiliations: Biometrician, Growth and Yield, with the Research Branch, British Columbia Ministry of Forests, 31 Bastion Square, Victoria, British Columbia, Canada, V8W 3E7
Publication date: 1995-02-01
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