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华山松球果螟幼虫空间分布型研究
引用本文:舒金平,潘涌智.华山松球果螟幼虫空间分布型研究[J].西南林学院学报,2003,23(2):71-75.
作者姓名:舒金平  潘涌智
作者单位:西南林学院,保护生物学学院,云南,昆明,650224
基金项目:云南省科技厅应用基础研究基金资助项目 (2 0 0 0C0 0 5 6M)
摘    要:应用多个聚集度指标和Iwao,Talor等的回归分析法对华山松球果螟越冬代幼虫的空间分布型进行了研究.结果表明:越冬代幼虫的空间分布型为聚集分布(云南地区),聚集的原因是由害虫本身的生物学特性和环境因子共同作用所造成.在回归分析检验中,4种回归模型的拟合效果良好,但以La-m模型最优.

关 键 词:华山松球果螟  幼虫  空间分布型  聚集分布  生物学特性  环境因子  La-m模型  回归分析法
文章编号:1003-7179(2003)02-0071-05

A Study on the Spatial Distribution Pattern of Dioryctria rubble
SHU Jin-ping,PAN Yong-zhi.A Study on the Spatial Distribution Pattern of Dioryctria rubble[J].Journal of Southwest Forestry College,2003,23(2):71-75.
Authors:SHU Jin-ping  PAN Yong-zhi
Abstract:Dioryctria rubble is the major pest which damages the cones and seeds of Pinus armandii. It's spatial distribution pattern was examined by several aggregation indices, and regression analysis methods of Iwao, Talor and Lan Xinping etc.The results show that the spatial distribution pattern of the overwintering larvae belong to the aggregation distribution, and the aggregation are caused by both the insect's biological characteristics and the environmental factors. Among the regression analysis, the linear related degree of the La-m regression model is the optimum while the other three models also fit well.
Keywords:Dioryctria rubble  spatial distribution pattern  aggregation indices  regression analysis methods
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