Understanding the Relationship Between Crown Shape and Size and
Structural Complexity of Individual Trees
Abstract
Forest canopy structure is influenced by tree attributes and processes
such as forest generation, growth, and mortality. Structural complexity
of a tree or a stand has, however, been challenging to assess as
comprehensive and quantitative measurements have practically been
impossible to produce. Thus, we utilized 3D information provided by
terrestrial laser scanning (TLS) in assessing structural complexity of
individual Scots pine (Pinus sylvestris L.) trees to better understand
of forest systems and especially relationships between structural
complexity and crown shape and size. Additionally, we investigated the
effects of forest management (i.e. thinning) on structural complexity of
individual Scot pine trees. We applied fractal analysis (i.e. box
dimension) to provide a measure for structural complexity of individual
trees and investigated its relationship between crown dimensions (i.e.
width, volume, and projection area). There was a positive relationship
between crown characteristics and structural complexity indicating an
increased structural complexity when crown shape and size increased. The
strongest relationship (correlation coefficient of 0.4-0.7) was found
between structural complexity and crown projection area and crown
volume. The relationship between structural complexity and all crown
attributes was stronger in denser forests (~900
stems/ha) with correlation coefficient 0.6-0.7 compared to sparse
forests (~400 stems/ha) with correlation coefficient
0.6. Additionally, it was shown that structural complexity of individual
Scots pine trees increased with forest management intensity. Crown
characteristics can be considered as drivers of structural complexity of
individual trees. Crown shape and size can be expected to characterize
vitality of trees. Thus, this study provides an example how crown
characteristics can be related to structural complexity of individual
trees and how they can be quantitatively assessed. Furthermore, the
study affirms the possibilities of TLS as a tool for characterizing
forest canopy structure and dynamics.