@article{wyckoff_tree_2005,
	title = {Tree growth prediction using size and exposed crown area.},
	volume = {35},
	url = {http://cwt33.ecology.uga.edu/publications/3007.pdf},
	abstract = {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 R2 = 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.},
	journal = {Canadian Journal of Forest Research},
	author = {Wyckoff, P. H. and Clark, James S.},
	year = {2005},
	keywords = {CWT}
}

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