Effects of thinning on structural complexity of plantation.

In this paper, we collected the individual tree point cloud data in the plots of plantations with different thinning intensities in Mengjiagang Forest Farm, applied the fractal analysis theory to extract box dimensions () on MATLAB platform, and characterized the structural complexity of . We assessed the effect of different thinning intensities and tree attributes on the structural complexity of . The results showed significant differences in between control (CK: 1.68±0.07), low and medium intensity thinning (T, T, T: 1.74±0.07), and high intensity thinning (T: 1.81±0.06), which indicated that the thinning intensity increased tree structural complexity. For trunk attribute, the diameter at breast height and tree height was significantly positively correlated with , while the height-to-diameter ratio was significantly negatively correlated with . For canopy attribute, crown volume, surface area, projected area, and crown diameter was significantly positively correlated with . Hegyi competition index was significantly negatively correlated with in the control and low-moderate-intensity thinning treatments, but not significantly correlated with in the high-intensity thinning treatment. It indicated that thinning influenced structural complexity, with trunk attribute and canopy attribute as the main drivers of structural complexity.