Empirical harvest models and their use in regional business-as-usual scenarios of timber supply and carbon stock development

Abstract

Harvest activity directly impacts timber supply, forest conditions, and carbon stock. Forecasts of the harvest activity have traditionally relied on the assumption that harvest is carried out according to forest management guidelines or to maximize forest value. However, these rules are, in practice, seldom applied systematically, which may result in large discrepancies between predicted and actual harvest in short-term forecasts. We present empirical harvest models that predict final felling and thinning based on forest attributes such as site index, stand age, volume, slope, and distance to road. The logistic regression models were developed and fit to Norwegian national forest inventory data and predict harvest with high discriminating power. The models were consistent with expected landowners behavior, that is, areas with high timber value and low harvest cost were more likely to be harvested. We illustrate how the harvest models can be used, in combination with a growth model, to develop a national business-as-usual scenario for forest carbon. The business-as-usual scenario shows a slight increase in national harvest levels and a decrease in carbon sequestration in living trees over the next decade.

Keywords:

• Biomass
• forecast
• Norway
• prediction
• short-term
• thinning

Acknowledgements

We would like to thank our college Rune Eriksen for help in the development of this manuscript. We are also grateful to one anonymous reviewer and Dr Mats Hannerz for their valuable comments on the manuscript. This study was funded by the Norwegian Ministry of Agriculture and Food and the Norwegian Climate and Pollution Agency.