Economic weight of tree survival relative to volume production in tree breeding: A case study with Pinus sylvestris in northern Sweden
Source: Scandinavian Journal of Forest Research, Volume 24, Number 4, August 2009 , pp. 288-297(10)
Publisher: Taylor and Francis Ltd
Abstract:The primary aim of the study was to estimate economic weights of survival relative to volume production per unit area, and to analyse the observable impact of changing survival, for five different breeding populations of Scots pine in northern Sweden. The economic weights were calculated from the model previously presented by the authors. Data from genetic field trials associated with the breeding populations were used both to estimate economic weights and to analyse the validity of the model. The breeding populations used were chosen to encompass a range of climatic conditions. The effects on the estimates of economic weights of increasing harshness (expressed as decreasing temperature sum), actual levels of both survival and patchiness of survival, and different initial stand densities were also analysed. The results showed that an appropriately parameterized model can be used to estimate economic weights for Scots pine in northern Sweden. Both the economic weight of survival and the observable impact of changing survival varied markedly between the studied breeding populations. Decreasing temperature sum had no trend with increasing economic weight of survival whereas decreasing survival and increasing patchiness of survival increased the estimated economic weight of survival more than three-fold.
Document Type: Research Article
Affiliations: 1: Department of Plant Biology and Forest Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden,Skogforsk (The Forestry Research Institute of Sweden), Uppsala Science Park, Uppsala, Sweden 2: Reindeer Husbandry Unit, Swedish University of Agricultural Sciences, Uppsala, Sweden 3: Skogforsk (The Forestry Research Institute of Sweden), Savar, Sweden 4: Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
Publication date: 2009-08-01