Tree growth prediction using size and exposed crown area

Journal Article (Journal Article)

We address the relationships between tree growth rate and growing environment for 21 co-occurring species. Tree growth rates are obtained from mapped plots at the Coweeta Long-Term Ecological Research site in the southern Appalachian Mountains. We employ high-resolution aerial photography to assess the light environment for trees growing in these plots, using exposed crown area (ECA) as a surrogate for light interception. The relationship between growth and ECA is compared with two other growth predictors: tree size and shade-tolerance classification. We find that ECA is an excellent predictor of tree growth (average R2 = 0.69 for nine species). When ECA is combined with tree size, growth rate prediction is improved (average R 2 = 0.76). Tree size alone is also a strong predictor of tree growth (average R2 = 0.68). Shade-tolerance classification, by contrast, is a poor predictor of tree growth. © 2005 NRC Canada.

Full Text

Duke Authors

Cited Authors

  • Wyckoff, PH; Clark, JS

Published Date

  • January 1, 2005

Published In

Volume / Issue

  • 35 / 1

Start / End Page

  • 13 - 20

International Standard Serial Number (ISSN)

  • 0045-5067

Digital Object Identifier (DOI)

  • 10.1139/x04-142

Citation Source

  • Scopus