The cluster analysis resulted in five groups of trees that were dis-tinct from each other. The cluster analysis also yielded a hierarchy ofdistinctions between trees. The three MDS dimensions correspondto the cluster analysis results: The distinction between conifersand deciduous trees was the most important distinguishing fea-ture in both analyses (first bifurcation in the cluster dendrogram;first dimension of the MDS diagram). Additionally, the ratio ofcrown height to width was the second most important parameter inboth analyses (distinction between the trees that had oval-shapedcrowns in clusters 1 and 2 and the trees with globular-shapedcrowns in clusters 3 and 4; second dimension of the MDS dia-gram). The two-dimensional crown size to the trunk height ratio(MDS dimension 3) is analogous to the distinction between treesthat had a globular-shaped crown and a short trunk (cluster 3) andtrees that had a globular-shaped crown and a long trunk (cluster4). This distinction was not found for trees that had an oval-shapedcrown, and in fact, the ratio variation was very small in this group.In contrast to the MDS model, the clustering solution indicates oneadditional tree parameter that distinguished between trees thathad an oval-shaped crown, specifically its crown density (the thirdbifurcation in the cluster dendrogram). This may indicate a statis-tical procedure limitation or a misinterpretation of clusters and/ordimensions.