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Forestry 1990 63(2):119-128; doi:10.1093/forestry/63.2.119
© 1990 by Institute of Chartered Foresters
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Productivity of Sitka Spruce in Northern Britain 2. Prediction from Site Factors

R. WORRELL and D. C. MALCOLM

Department of Forestry and Natural Resources, University of Edinburgh Darwin Building, The King's Buildings, Mayfield Road, Edinburgh, EH9 3JU, Scotland

Productivity and site data from 187 temporary sample plots were analysed by multiple regression analysis to derive models in which site variables accounted for 78–86 per cent of the variation in Sitka spruce productivity (General Yield Class, GYC). Climatic variables (accumulated temperature and windiness) extrapolated from meteorological data and tatter flag results accounted for up to 78 per cent of the variation, the contribution of edaphic factors being small. The best regression models were associated with confidence limits of about ± 2.5 m3 ha–1 y–1 and the mean error for predicting GYC for a forest block (acquisition) was calculated to be ±1 m3 ha–1 y–1 These figures were confirmed by the results of a validation survey and the application to field prediction of productivity is described.


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