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Marjut Ihalainen (email), Timo Pukkala

Modelling cowberry (Vaccinium vitis-idaea) and bilberry (Vaccinium myrtillus) yields from mineral soils and peatlands on the basis of visual field estimates

Ihalainen M., Pukkala T. (2001). Modelling cowberry (Vaccinium vitis-idaea) and bilberry (Vaccinium myrtillus) yields from mineral soils and peatlands on the basis of visual field estimates. Silva Fennica vol. 35 no. 3 article id 588. https://doi.org/10.14214/sf.588

Abstract

This study presents new models for predicting bilberry and cowberry yields from site and stand characteristics. These models enable one to evaluate the future states of forests in terms of berry yields. The modelling data consisted of visual field estimates of site and tree stand characteristics, as well as berry yields from 627 forest stands. Berry yields were estimated using a scale from 0 to 10. Using these data, models were prepared which predict the berry yield scores from those site and stand characteristics which are usually known in forest planning calculations. The model predictions correlated positively and often quite strongly with earlier models. The results were in line with previous studies on the effects of site and tree cover on berry production. According to the models, sites of medium and rather poor fertility produce the highest bilberry yields. Increasing tree height increases, and the basal area of spruce and proportion of deciduous trees decrease, bilberry yield. With mineral soils, cowberry yields are best on poor sites. A high proportion of pine improves cowberry yields. The yields are the highest in open areas and very young stands, on the one hand, and in sparsely populated stands of large and old trees, on the other hand. In pine swamps, the yields are best on rather poor sites. Increasing basal area of deciduous trees decreases cowberry yields.

Keywords
Vaccinium myrtillus; Vaccinium vitis-idaea; non-wood forest products

Author Info
  • Ihalainen, University of Joensuu, Faculty of Forestry, P.O. Box 111, FIN-80101 Joensuu, Finland E-mail marjut.ihalainen@forest.joensuu.fi (email)
  • Pukkala, University of Joensuu, Faculty of Forestry, P.O. Box 111, FIN-80101 Joensuu, Finland E-mail tp@nn.fi

Received 17 March 2000 Accepted 15 May 2001 Published 31 December 2001

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Available at https://doi.org/10.14214/sf.588 | Download PDF

Creative Commons License CC BY-SA 4.0

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Ihalainen M., Salo K. et al. (2003) Empirical prediction models for Vaccinium myrtil.. Silva Fennica vol. 37 no. 1 article id 513
Ihalainen M., Pukkala T. (2001) Modelling cowberry (Vaccinium vitis-idaea) and b.. Silva Fennica vol. 35 no. 3 article id 588