Table 2. Spatial autocorrelation of the first two components of a principal component analysis as indicated by Moranís I correlograms. Negative Moranís I values indicate regular arrays, whereas positive values indicate clusters. Numbers in bold are significant at P <0.001.

Spatial Scale (m)
First Principal Component
Second Principal Component
250
0.145
0.010
350
0.058
-0.005
450
0.013
-0.043
550
0.021
-0.037