Abstract
A new system is presented for predicting tree mortality, in order to improve Swedish long-term forest planning. A three-step approach was used, which consists of (I) estimating the probability of mortality on a sample plot; (II) quantifying the mortality in terms of proportion of basal area., and (III) distributing the mortality among individual trees. The system predicts the mortality for 5 yr periods. Data from permanent sample plots of the Swedish National Forest Inventory were used. Independent variables used for steps I and II were specific to site, stand and plot characteristics. In the step III models, which were tree-species specific. competition indices were also included. Logistic regression was used for steps I and III models, while linear regression was used for the step II models. A fair performance of the functions was observed, although mortality is a highly stochastic process. In applications, random simulation in all steps can mimic this.
| Original language | English |
|---|---|
| Pages (from-to) | 455-466 |
| Number of pages | 12 |
| Journal | Scandinavian Journal of Forest Research |
| Volume | 16 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2001 |
Keywords
- dead trees
- forest management
- natural tree mortality
- planning
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