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Position: Home > Articles > The Construction Model of Interspecific Association and Its Applications Scientia Silvae Sinicae 2004,40 (2) 183-188

联结度指数构造模型及其应用

作  者:
罗传文
单  位:
东北林业大学
关键词:
联结度;局部联结度;统计量;联结度构造模型;固定样地
摘  要:
The model of interspecific association index was constructed in this paper. It is proved that the classical interspecific association statistic is the special case of this model. The derivation of this paper got the unification between interspecific association measurement and its statistic, and between its qualitative analysis and quantitative analysis. The essence of interspecific association index was opened out and the enactment of interspecific association index was developed. Four part specific association indices were constructed on this base, all of the specific association indices were computed respectively to the different radius of sample circle by the permanent sample plot data in Moarshan National Forest Park, Heilongjiang Province, P. R. China. The fourth index was less affected by the size of sample circle, was steady and widely practical.
译  名:
The Construction Model of Interspecific Association and Its Applications
作  者:
Luo Chuanwen (Northeast Forestry University Harbin 150040)
关键词:
Interspecific association, Part interspecific association, Statistic, Interspecific construction model, Permanent sample plot
摘  要:
The model of interspecific association index was constructed in this paper. It is proved that the classical interspecific association statistic is the special case of this model. The derivation of this paper got the unification between interspecific association measurement and its statistic, and between its qualitative analysis and quantitative analysis. The essence of interspecific association index was opened out and the enactment of interspecific association index was developed. Four part specific association indices were constructed on this base, all of the specific association indices were computed respectively to the different radius of sample circle by the permanent sample plot data in Moarshan National Forest Park, Heilongjiang Province, P. R. China. The fourth index was less affected by the size of sample circle, was steady and widely practical.

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