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Adjusting the Stems Regional Forest Growth Model to Improve Local PredictionsAuthor(s): W. Brad Smith
Source: Research Note NC-297. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station
Publication Series: Research Note (RN)
Station: North Central Research Station
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DescriptionA simple procedure using double sampling is described for adjusting growth in the STEMS regional forest growth model to compensate for subregional variations. Predictive accuracy of the STEMS model (a distance-independent, individual tree growth model for Lake States forests) was improved by using this procedure
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CitationSmith, W. Brad. 1983. Adjusting the Stems Regional Forest Growth Model to Improve Local Predictions. Research Note NC-297. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station
KeywordsGrowth model, double sampling, ratio estimators
- Adjusting STEMS growth model for Wisconsin forests.
- Developing above-ground woody biomass equations for open-grown, multiple-stemmed tree species: shelterbelt-grown Russian-olive
- Bridging process-based and empirical approaches to modeling tree growth
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