Evaluation of individual-tree growth models for Picea abies based on a case study of an uneven-sized stand in southern Sweden

To develop recommendations for tree selection in Continuous Cover Forestry (CCF), access to valid tools for simulating growth at individual tree-level is necessary. To assist efforts to develop such tools, in this study, long-term observation data from two uneven-sized Norway spruce plots in souther...

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Bibliographic Details
Published in:Scandinavian journal of forest research 2022, Vol.37 (1), p.45-58
Main Authors: Fagerberg, Nils, Lohmander, Peter, Eriksson, Ola, Olsson, Jan-Ola, Poudel, Bishnu Chandra, Bergh, Johan
Format: Article
Language:English
Subjects:
Competition
Continuous Cover Forestry
Forest Science
Forestry and Wood Technology
Growth models
growth prediction
Historic sites
Picea abies
Pine trees
selective cutting
single-tree growth models
single-tree selection
Skog och träteknik
Skogsvetenskap
Thinning
Trees
uneven-aged
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Summary:To develop recommendations for tree selection in Continuous Cover Forestry (CCF), access to valid tools for simulating growth at individual tree-level is necessary. To assist efforts to develop such tools, in this study, long-term observation data from two uneven-sized Norway spruce plots in southern Sweden are used to evaluate old and new individual-tree growth models (two established Swedish models, two new preliminary models and included as a reference, a Finnish model). The plots' historical management records and site conditions are the same, but their last thinning treatment differs. Observed diameter increment at tree-level is investigated in relation to treatment. Individual tree growth residuals of tested models are evaluated in relation to tree diameter, treatment, projection length and sensitivity to the predictor mean stand age. Furthermore, the relations between displayed residuals and basal area local competition are analysed. The analyses indicate that active thinning made annual diameter increment independent of tree diameter above a threshold level, while the absence of thinning supported a concave relationship. All tested models displayed a significant linear bias leading to overestimation of small trees' growth and increasing underestimations of larger trees' growth with tree diameter. All distance-independent models displayed residual trends related to local competition.
ISSN:0282-7581
1651-1891
1651-1891
DOI:10.1080/02827581.2022.2037700