RT info:eu-repo/semantics/article
T1 Empirical harvest models and their use in regional business-as-usual scenarios of timber supply and carbon stock development
A1 Antón-Fernández, Clara
A1 Astrup, Rasmus
AB 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.
PB Taylor & Francis
SN 0282-7581
YR 2012
FD 2012
LK https://uvadoc.uva.es/handle/10324/83116
UL https://uvadoc.uva.es/handle/10324/83116
LA eng
NO Scandinavian Journal of Forest Research, 2012, vol. 27, n. 4, p. 379–92.
DS UVaDOC
RD 04-mar-2026