Abstract
Synopsis A means of predicting site potential for pine species in the Southern Cape based on 10 vegetation associations is presented. Data from 180 plots located largely in the Outeniqua Mountain foothills were analysed. TWINSPAN was used to determine the vegetation associations. Significant site and soil differences between associations were found using canonical discrimination and logistic regression analysis. The major environmental parameter influencing the natural vegetation associations appears to be a soil moisture gradient, which in turn is directly related to pine tree growth.
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