The paper is an introduction to the statistical model of Classification and Regression Trees (CART) to evaluate forest monitoring data in Germany. The advantages of this method as opposed to cluster methods are identified and illustrated on the example of spruce stands in North-Rhine Westphalia. The results confirm that age, altitude above sea level, chest-high diameter measurements and humus type are closely related to the degree of needle occurrence in spruce,and they reveal a positive correlation between Si-levels and loss of needles.
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Copyright 2007, Swiss Forestry Society
2007