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Understanding the Relationship Between Crown Shape and Size and Structural Complexity of Individual Trees
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  • Ninni Saarinen,
  • Kim Calders,
  • Ville Kankare,
  • Tuomas Yrttimaa,
  • Samuli Junttila,
  • Saija Huuskonen,
  • Jari Hynynen,
  • Hans Verbeeck
Ninni Saarinen
University of Helsinki, University of Eastern Finland

Corresponding Author:ninni.saarinen@helsinki.fi

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Kim Calders
Ghent University
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Ville Kankare
University of Eastern Finland, University of Helsinki
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Tuomas Yrttimaa
University of Eastern Finland, University of Helsinki
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Samuli Junttila
University of Eastern Finland, University of Helsinki
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Saija Huuskonen
Natural Resources Institute Finland
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Jari Hynynen
Natural Resources Institute Finland
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Hans Verbeeck
Ghent University
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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.