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Forests 2015, 6(6), 1933-1948; doi:10.3390/f6061933

Evaluating the Scenic Beauty of Individual Trees: A Case Study Using a Nonlinear Model for a Pinus Tabulaeformis Scenic Forest in Beijing, China

,
and
*
Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Eric J. Jokela
Received: 2 March 2015 / Revised: 18 May 2015 / Accepted: 20 May 2015 / Published: 1 June 2015
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Abstract

The relationship between scenic beauty grade and measured tree indicators was studied through evaluation of 427 photos of individual Pinus tabulaeformis trees by using the scenic beauty estimation (SBE) method. Thirteen indices to reflect trunk, crown and stem-to-canopy ratios of individual trees were evaluated by invited students. Results showed that students preferred large diameters at breast height, full canopies and straight stems or some trees with minor crook stems. Tree height had a minor contribution to individual tree quality. Correlation analysis and factor analysis were employed to select indices and to integrate them into a comprehensive index. The stepwise method of nonlinear model incorporation of four comprehensive indices—tree crown form, stem-crown coordination, tree growth and stem for—were proven valuable in order to evaluate the scenic beauty of individual trees. View Full-Text
Keywords: Pinus tabulaeformis; scenic forest; scenic beauty of individual trees; nonlinear model Pinus tabulaeformis; scenic forest; scenic beauty of individual trees; nonlinear model
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Mao, B.; Gong, L.; Xu, C. Evaluating the Scenic Beauty of Individual Trees: A Case Study Using a Nonlinear Model for a Pinus Tabulaeformis Scenic Forest in Beijing, China. Forests 2015, 6, 1933-1948.

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