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本文应用主分量分析等统计方法对沪郊麦类“净初级生产力时间序列”(本文所述麦类,系指小麦、大麦和元麦三麦,下同)以及麦类的气候生态条件进行了研究,将麦类净初级生产力分离成趋势生产力和气候生产力两个分量,找出了影响麦类净初级生产力的主要气候生态因子是麦类生育期间的总降水量和总雨日,得出了这两个因子对麦类气候生产力影响的指标和关键时段,组建了关键时段的主要气候生态因子与麦类气候生产力之间的复回归方程,并对首次在农业气候生态研究中应用的主分量分析方法和麦类的气候生态问题进行了讨论。
In this paper, we use the principal component analysis and other statistical methods to study the climatic and ecological conditions of wheat in Shanghai suburbs of “net primary productivity time series” (wheat, wheat, barley and wheat, wheat) In this study, the net primary productivity of wheat was separated into two components, trend productivity and climate productivity, and the main climatic ecological factors that affected the net primary productivity of wheat were the total precipitation and total rain days during wheat growth, These two factors on the wheat climate productivity impact indicators and key period, the formation of the key period of the main climate ecological factors and wheat climate productivity between the regression equation, and for the first time in the application of agricultural climate and ecology of the main component Analytical methods and wheat climate and ecological issues were discussed.