Quantitative characterization of clumping in Scots pine crowns

Pauline Stenberg, Matti Mõttus, Miina Rautiainen, Risto Sievänen

Research output: Contribution to journalArticleScientificpeer-review

9 Citations (Scopus)

Abstract

Background and Aims Proper characterization of the clumped structure of forests is needed for calculation of the absorbed radiation and photosynthetic production by a canopy. This study examined the dependency of crown-level clumping on tree size and growth conditions in Scots pine (Pinus sylvestris), and determined the ability of statistical canopy radiation models to quantify the degree of self-shading within crowns as a result of the clumping effect. Methods Twelve 3-D Scots pine trees were generated using an application of the LIGNUM model, and the crown-level clumping as quantified by the crown silhouette to total needle area ratio (STARcrown) was calculated. The results were compared with those produced by the stochastic approach of modelling tree crowns as geometric shapes filled with a random medium. Key Results Crown clumping was independent of tree height, needle area and growth conditions. The results supported the capability of the stochastic approach in characterizing clumping in crowns given that the outer shell of the tree crown is well represented. Conclusions Variation in the whole-stand clumping index is induced by differences in the spatial pattern of trees as a function of, for example, stand age rather than by changes in the degree of self-shading within individual crowns as they grow bigger.

Original languageEnglish
Pages (from-to)689-694
Number of pages6
JournalAnnals of Botany
Volume114
Issue number4
DOIs
Publication statusPublished - 1 Sep 2014
MoE publication typeA1 Journal article-refereed

Keywords

  • clumping
  • crown shape
  • crown structure
  • Functional-structural modelling
  • Pinus sylvestris
  • radiation
  • STAR

Fingerprint Dive into the research topics of 'Quantitative characterization of clumping in Scots pine crowns'. Together they form a unique fingerprint.

Cite this