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A Site Index Model for Lodgepole Pine in British Columbia

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A height growth and site index model was developed combining permanent sample plot (PSP) and stem analysis (SA) data from the Sub-Boreal Spruce biogeoclimatic zone of British Columbia, Canada. SA data were screened for indications of early suppression, virtually eliminating that source of bias. Estimation was based on a stochastic differential equation form of the Bertalanffy‐Richards growth curve, including environmental and measurement/sampling variation. Methods involve the inclusion of mixed effects and obtaining simultaneous maximum likelihood estimates for all the parameters. Differences in error structure between PSP and SA data were taken into account. The model fits the data well and compares favorably to existing alternatives.
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Keywords: Pinus contorta; forest growth and yield; site productivity; stem analysis

Document Type: Research Article

Publication date: 2014-10-01

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