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Citation:

Study on Vertica l Structue of Forest Commun ities in Yunmengshan

  • Received Date: 2006-03-18
  • A stratification method of forest vertical structure was built based on crown cut-off height point (CCHP) instand. Compared to the result by systematic clustering of tree height in the stand, stratification by the new methodwas validated, during the p rocess of stratification of stand, tree height near the CCHP was easy to be classifiedwrongly, and the best classification results came from the p rocesswith 0. 4 of competition coefficient used, in whichthe average rate of mis-classified trees was 10. 10% in all nine p lots. Besides the number of canopy layers (Sn ) ,several other indices related with vertical structure were also calculated, i. e. , Gini index (Gc ) , variants of treeheights (Cv ) , and biodiversity index of tree layer (Ht ) , shrub layer (Hs ) and grass layer (Hg ). The correlation analysis between those indices showed that there were common correlation existed among them, which indicated that Sn ,Gc , Cv could be used to describe the vertical structure of forest stand p roperly and the comp lexity of vertical structurecould influence the development of shrub and grass layer.
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Study on Vertica l Structue of Forest Commun ities in Yunmengshan

  • 1. The Key Laboratory for Silviculture and Conservation ofMinistry of Education,Beijing Forestry University , Beijing 100083, China
  • 2. Research Institute of Forestry, CAF, Beijing 100091, China
  • 3. College of Soil andWater Conservation, Beijing ForestryUniversity, Beijing 100083, China
  • 4. International Forestry Cooperation Center of Beijing Forestry Bureau, Beijing 100029, China

Abstract: A stratification method of forest vertical structure was built based on crown cut-off height point (CCHP) instand. Compared to the result by systematic clustering of tree height in the stand, stratification by the new methodwas validated, during the p rocess of stratification of stand, tree height near the CCHP was easy to be classifiedwrongly, and the best classification results came from the p rocesswith 0. 4 of competition coefficient used, in whichthe average rate of mis-classified trees was 10. 10% in all nine p lots. Besides the number of canopy layers (Sn ) ,several other indices related with vertical structure were also calculated, i. e. , Gini index (Gc ) , variants of treeheights (Cv ) , and biodiversity index of tree layer (Ht ) , shrub layer (Hs ) and grass layer (Hg ). The correlation analysis between those indices showed that there were common correlation existed among them, which indicated that Sn ,Gc , Cv could be used to describe the vertical structure of forest stand p roperly and the comp lexity of vertical structurecould influence the development of shrub and grass layer.

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