A Three-step Approach for Modelling Tree Mortality in Swedish Forests. Fridman, J. & Ståhl, G. Scandinavian Journal of Forest Research, 16(5):455-466, 2001.
doi  abstract   bibtex   
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.
@article{RN161,
   author = {Fridman, Jonas and Ståhl, Göran},
   title = {A Three-step Approach for Modelling Tree Mortality in Swedish Forests},
   journal = {Scandinavian Journal of Forest Research},
   volume = {16},
   number = {5},
   pages = {455-466},
   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.},
   keywords = {Dead Trees
Forest Management
Natural Tree Mortality
Planning},
   ISSN = {0282-7581},
   DOI = {10.1080/02827580152632856},
   year = {2001},
   type = {Journal Article}
}

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