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STEMS Model Projection Capability with Plot and Tree Data Aggregation

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Projections of forest plot characteristics were made using the STEMS individual-tree based stand growth model for jack pine, red pine, maple-birch and aspen cover types from Michigan, Minnesota, and Wisconsin for periods of up to 50 years. Tree lists were constructed from forest survey records using various plot and tree aggregation methods, then projected and compared to projections of the same data without aggregation. The loss in projection precision due to aggregation was then weighed against savings in computer processing time as compared to the unaggregated projections. Differences between aggregated and unaggregated projections increased with greater aggregation and with longer projection periods, but in most cases were less than 10% at 50 years when the plot data were aggregated by stand density class. The largest differences were observed for pulpwood and sawtimber volumes. However, these differences were in part a function of merchantability limits based on tree size. Results indicate that dramatic cost savings can be realized with little loss in precision. North. J. Appl. For. 2:121-127, Dec. 1985.
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Document Type: Journal Article

Affiliations: USDA Forest Service, North Central Forest Experiment Station, 1992 Folwell Ave., St. Paul, MN 55108

Publication date: 1985-12-01

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  • Each regional journal of applied forestry focuses on research, practice, and techniques targeted to foresters and allied professionals in specific regions of the United States and Canada. The Northern Journal of Applied Forestry covers northeastern, midwestern, and boreal forests in the United States and Canada.
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