用高空风预测二代粘虫发生区一代成虫迁入量的探讨

为了推动病虫测报工作向数学模式化发展,本文以建立“最优”回归方程为目的,用逐步回归方法,通过电子计算机,组建了二代粘虫发生区一代成虫迁入量的中长期及短期预测模式。方法和结果如下: 1.以我国东北地区一代成虫迁入量为预报对象。 2.在一代区除对徐州等3站的一代幼虫发生程度进行相关普查外,还在一代区选取上海、南京等8站以及一代成虫向北迁飞过境地区的济南等3站,对上述11个站一代成虫迁出期的高空风资料进行相关分析。由于至今尚未能在空中捕获粘虫,对它的迁飞高度尚有不同看法。因此,本文对上述11站1,500、1,000、500米3个高度的风向资料,按15个风向方位统计一代成虫迁出期出现某风向方位的次数,将相关超过0.05显著水平的作为待选因子。 3.分别建立了3个不同高度的中长期预测及短期预测模式,都得到较好的结果。这说明用虫情因子及高空风建立预测式是可行的和非常有意义的。还可以看出:一代成虫迁入量与一代幼虫发生程度呈正相关;与迁出期南风、偏南风呈正相关;与北风、偏北风呈反相关。模式有一定的生物学意义,可为粘虫预测增添一条新的模拟研制途径。

AN APPROACH OF PREDICTION MODEL OF THE NUMBER OF FIRST-GENERATION MOTHS IN THE OUTBREAKING AREA OF SECOND-GENERATION ARMYWORM BY USING THE WIND DATA OF THE UPPER AIR AS PREDICTOR

In order to stimulate the mathematical modelling of the prediction of plant disease and insects, long medium-range and short-range prediction models of the number of first-generation moths in the outbreaking area of second-generation armyworm have been set up by using the step wise regression technique. The predictor is the number of first-generation moths in North-east China. Based upon correlation analysis the candidate predictands are chosen from the number of first-generation baby moths observed at thre...