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《Journal of Beijing Forestry University》 2002-Z1
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Kernel density estimation of species abundance distribution in rare and endangered Castanopsis kawakamii natural forest.

Liu Jinfu; Hong Wei; Li Junqing. College of Forestry,Fujian Agriculture and Forestry University,Nanping,353001,P. R. China.  
The kernel density estimation method was used to simulate and illustrate the species abundance of 7 main communities by investigating species amounts of community composition types in C. kawakamii forest,which including ① C. kawakamii+S. superba+L. mollifolia,②C. kawakamii+D. oldhamii+S. superba,③C. kawakamii+Q. glandulifera+I. purpurea,④C. kawakamii pure forest,⑤ P. massoniana+S. superba+E. decipiens,⑥C. kawakamii+P. massoniana+S. stellaris,⑦C. eyrei+C. kawakamii+S. superba .The results show that species abundance of arbor layer,shrub layer and all woody plants of 7 main communities in C. kawakamii forest all can be well described by non parametric kernel method based on the sample data without assuming the species abundance distribution.The non parametric kernel density estimation is suggested as a useful method for species abundance distribution simulation in C. kawakamii forest,and will expand the study method in biological diversity,and is provided for resources management and protection of rare and endangered plants.
【Fund】: 福建省教委科学基金资助项目 (k2 0 0 4 3)
【CateGory Index】: S792.17
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