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Selected Publication:

Thurnher, C; Astrup, R; Sjolie, HK; Hasenauer, H.
(2016): Comparison of mortality models for Norwegian tree species
AUSTRIAN J FOR SCI. 2016; 133(1): 63-86.

Individual tree mortality models based on logistic regression exist for different tree species and countries around the world. We examine two mortality models developed in Norway and two models from Austria for Norway spruce (Picea abies), Scots pine (Pinus sylvestris) and birch (Betula pubescens and Betula pendula) trees. We apply all models with their original coefficients on the Norwegian National Forest Inventory (NNFI) data. The dataset comprises 36,217 spruce, 17,483 pine and 24,418 birch trees. We show the differences in predictions that arise from newly parameterized predictor variables and the effect of the original calibration data from different geographic regions. Next we recalibrate the mortality functions with the NNFI data to show the improvements in the predictions and illustrate the impact of the different predictor variables. We apply statistical methods to assess which of the original and recalibrated models best mimic the observed mortality rates of the three species. Finally we provide the new coefficient set for the model functions for spruce, pine and birch in Norway.
Authors BOKU Wien:
Hasenauer Hubert
Thurnher Christopher

Find related publications in this database (Keywords)
Tree mortality
logistic regression
Norwegian National Forest Inventory

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