Regression Models Describe and Predict Benefits of Vegetation Management for Black Spruce

Authors
Richard Fleming
Jim Wood
Tim Hums
Garth Mitchell
Resource Date:
1997
Page Length
4

To better quantify the long-term growth response of black spruce to weed control, individual outplants were sampled up to 11 years after planting as part of a vegetation management and stock comparison experiment in Kenogaming Township in northeastern Ontario (Wood
and Mitchell 1995).

In this study, the Kenogaming data were used to develop quantitative models describing the effects of stock type, plaining season, and weed control on changes in basal diameter, tree height, tree volume, and tree survival up to 11 years after planting. One potential use for these models is in filling information gaps in the decision support systems for vegetation management in Ontario. Currently these systems lack fitted models that can describe the longer-term effects of vegetation management on crop tree growth. The purpose of this paper is to illustrate the models that have been developed from the Kenogaming data.