Adjusting the Stems Regional Forest Growth Model to Improve Local Predictions

W. Brad Smith

doi:10.2737/NC-RN-297

Treesearch

Adjusting the Stems Regional Forest Growth Model to Improve Local Predictions

Informally Refereed

Authors:

W. Brad Smith

Year:

1983

Type:

Research Note

Station:

Northern Research Station

DOI:

https://doi.org/10.2737/NC-RN-297

Source:

Research Note NC-297. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station

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Abstract

A 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

Keywords

Growth model, double sampling, ratio estimators

Citation

Smith, 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