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

作者: Clara Antón-Fernández , Rasmus Astrup

DOI: 10.1080/02827581.2011.644576

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

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