Canopy Shape Simulation of Chinese Fir Plantation Based on Simple Competition Index

QIN Yang-ping; ZHANG Huai-qing; CHEN Yong-fu; JIANG Xian; LI Yong-liang

The middle-aged Chinese fir stands of Huangfengqiao State-owned Forest Farm in Youxian County of Hunan Province were studied. In order to simulate the shape of individual tree canopy, stepwise regression method was used to build an estimation model. In the model, a function taking individual tree size and individual tree competition index as variables, the crown width and crown length as dependent variables was involved. The result showed that when simulating the shape of Chinese fir canopy, the determination coefficient (R2) of competition-related crown width model and competition-related crown length model were 0.771 and 0.872, which were significantly higher than that of competition-unrelated model (which were 0.729 and 0.811), which indicated that the competition had a significant effect on the growth of canopy.

1. Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

Received Date: 2013-04-20

Abstract: The middle-aged Chinese fir stands of Huangfengqiao State-owned Forest Farm in Youxian County of Hunan Province were studied. In order to simulate the shape of individual tree canopy, stepwise regression method was used to build an estimation model. In the model, a function taking individual tree size and individual tree competition index as variables, the crown width and crown length as dependent variables was involved. The result showed that when simulating the shape of Chinese fir canopy, the determination coefficient (R2) of competition-related crown width model and competition-related crown length model were 0.771 and 0.872, which were significantly higher than that of competition-unrelated model (which were 0.729 and 0.811), which indicated that the competition had a significant effect on the growth of canopy.

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Reference (16)

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Canopy Shape Simulation of Chinese Fir Plantation Based on Simple Competition Index

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