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Study on Stand Growth Distribution Model

  • Received Date: 2012-08-28
  • The mechanism restriction and the interactive impact of the competition play important roles in stand growth. To realize the simulation of stand growth, the competition models to distributing the overall growth increment of stand to each individual tree in the stand were studied. With Chinese fir (Cunninghamia lanceolata) artificial stand in Huangfengqiao Forest Farm, Hu'nan Province, as the researching subject, the Open Comparison model fO, Simple Competition Index model fH, and Competition Pressure Index model fCSI were developed. From the three models, a new model Competition Index Model fC=1/(fO+fH+fCSI) was propounded. After eliminating the outliers, the fC was used as a parameter to propound a stand growth distribution model to distribute the overall growth increment of stand to each individual tree in the stand. Then the results of fH, fCSI and fC were compared. Analysis of covariance was used to test the differences in correlation coefficient. It was concluded that the fC could be an efficiency function to use on the growth stand visualization.
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Study on Stand Growth Distribution Model

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

Abstract: The mechanism restriction and the interactive impact of the competition play important roles in stand growth. To realize the simulation of stand growth, the competition models to distributing the overall growth increment of stand to each individual tree in the stand were studied. With Chinese fir (Cunninghamia lanceolata) artificial stand in Huangfengqiao Forest Farm, Hu'nan Province, as the researching subject, the Open Comparison model fO, Simple Competition Index model fH, and Competition Pressure Index model fCSI were developed. From the three models, a new model Competition Index Model fC=1/(fO+fH+fCSI) was propounded. After eliminating the outliers, the fC was used as a parameter to propound a stand growth distribution model to distribute the overall growth increment of stand to each individual tree in the stand. Then the results of fH, fCSI and fC were compared. Analysis of covariance was used to test the differences in correlation coefficient. It was concluded that the fC could be an efficiency function to use on the growth stand visualization.

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