1. Models for Predicting Dry Matter Content of Norway spruce
- Author
-
Per Ole Olesen and Andreas Bergstedt
- Subjects
biology ,Thinning ,Forestry ,Picea abies ,biology.organism_classification ,Confidence interval ,Animal science ,Volume (thermodynamics) ,Dry weight ,Content (measure theory) ,Botany ,Basic density ,Dry matter ,Mathematics - Abstract
Models were developed for predicting the dry matter content of single Norway spruce [Picea abies (L.) Karst.] stems from non-destructive field measurement data such as tree height, diameter and age. The material under study comprised 1612 stem discs originating from 235 trees grown at nine locations in Denmark and southern Sweden. In total, 153 trees (1054 discs) originating from a thinning experiment in southern Denmark were used for establishing the models, which were later validated on independent material. Results of the validation were that the 95% confidence interval for single stem density was ±9 to ±16% when based on average ring width at breast height, but within ±7% when based on wood samples taken at breast height. The density models were combined with standard volume models in order to predict dry matter content. Validation on independent material showed that in general the dry matter content of single stems can be estimated with less than 10% error (RMSE).
- Published
- 2000
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