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›› 1985, Vol. 21 ›› Issue (3): 247-252.

• 论文及研究报告 • 上一篇    下一篇

用双重筛选逐步回归法对广西钦州县松毛虫发生进行分析与预测

李天生 赵良彪 卢崇飞 高惠璇   

  1. 中国林业科学研究院林业科学研究所;广西钦州县林业局;北京大学数学系
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:1985-08-25 发布日期:1985-08-25

ANALYSIS AND FORCASTING OF THE PINE CATERPILLAR OF QINZHOU COUNTY IN GUANGXI AUTONOMOUS REGION BY MEANS OF DOUBLE SELECTION STEPWISE REGRESSION METHOD

Li Tiansheng,Zhao Liangbiao,Lu Chongfei,Gao Huixuan   

  1. Forest Research Institute,Chinese Academy of Forestry;Forestry Division,Guangxi Qinzhou County;Department of mathematics,Peking University
  • Received:1900-01-01 Revised:1900-01-01 Online:1985-08-25 Published:1985-08-25

摘要: 用“双重筛选逐步回归”法对广西钦州县松毛虫发生进行分析,因变量为有虫株率与虫口密度(第2、3个月),输入18个自变量,包括虫口原来密度及有虫株率、月份、诸气象要素、防治与否(防治与否和相对湿度、防治与否和有虫株率、防治与否和虫口密度)等因子的交互作用等。用4种筛选临界值进行计算,随F_x值的增大,剔除的自变量(因子)越多,保留的自变量越重要。结果表明,虫口原来状况最为重要,人为干扰(防治与否)以及防治与否和相对湿度的交互作用是影响虫数重要因子之一,气象因子中以日照时数最为重要。月份也是不可忽略的因子。对下两个月虫情进行初步预报时体会到,预报较大范围内虫口平均密度不可能很准确,意义也不大。用“双重筛选逐步回归”法可以预报害虫发生地区及该地发生量,这是更有意义的。

Abstract: Outbreaks of the pine caterpillar (Dendrolimus punctatus Walker) of Qinzhou County in Guangxi autonomous region are analysed by means of the double selection stepwise regression method. The density of pine caterpillars and the percentage of infected trees in two months are considered as dependent variables and eighteen factors,for example,the original insect density and the percentage of infected trees,various meteorological factors,seasonal month,control or not,interaction between control and R.H.and others are considered as independent variables.Four critical values are employed for selection,it is found that eliminated independent variables increase with the increase of Fx,thus the reserved independent variables are more important.The results show that the original status of pest population is the most important factor,while the man-made interference (i.e.control or not and interaction between control and R.H.)is another factor of importance.Among various meteorological factors,the sunshine-hour is considered as an important factor and the seasonal month factor should not be neglected. We realize that to forcast the average of pest population density in a larger area is inpossible of accuracy,its meaning is insignificant.It's more reasonable to forcast the infected areas and their respective pest density by our suggested method.