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通过频次比较 χ2 检验法 ,对华山松大小蠹入侵成虫 (凝脂数 )分别进行 Poisson分布 ,负二项分布 (矩法、零频率法 )和 Neyman分布 (A型、C型、N→∞型 )检验 ,当虫株率小于 48%时 ,呈负二项分布。将 1 3种聚集度指标法及新的聚集度指标群用于该虫的空间分布研究中 ,认为均是可行的。并将刀切估计法应用于 1 3种聚集度指标上 ;拟合出了 7种空间最佳模型 ;总地来说 ,聚集度回归模型在研究昆虫空间分布格局中是最佳的方法。华山松大小蠹入侵成虫种群聚集临界密度为 0 .0 0 76头 /株 ,在林间的分布格局是聚集度逆密度制约型
Poisson distribution, negative binomial distribution (MoM method, zero-frequency method) and Neyman distribution (A type, C type, N → ∞ type) Test, when the worm strain rate is less than 48%, was negative binomial distribution. In the study of the spatial distribution of 13 species of aggregates index and new clustering index, it is considered feasible. And the knife-cut estimation method was applied to 13 kinds of aggregation index. Seven kinds of spatial best models were fit. In general, the aggregation degree regression model was the best method to study the spatial distribution pattern of insects. The population density of adults of Pinus armandii was 0. 0 0 76 individuals per plant, and the distribution pattern in the forest was aggregation degree inverse density control