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用信息林法，分层信息技法及气象因子预测法、对黑龙江省林口县青山林场长白落叶松种子园和吉林省汪清林业局亲合林场长白落叶松种子园的结实量进行了相关分析和回归分析，建立了种子产量的预测方程。研究表明：用树冠中层４个信息枝的雌球花数量来预测种子产量准确而省工，并且用中层４个信息枝建立了短期预测方程；从影响种子产量的气候因子的相关分析表明，５、６月份的相对湿度、年蒸发量和≥１０℃年积温对花芽分化及下１年种子产量影响最大，据此建立了用气候因子预测种子产量的中期预测方程。
Using information forest method, stratified information technique method and meteorological factor prediction method, the correlation analysis and regression of seedling growth of Changbai larch seed orchard of Qingshan Forest Farm in Hekou of Heilongjiang Province and Changlinghuai larch seed orchard of Qinhe Forest Farm of Wangqing Forestry Bureau of Jilin Province were carried out Analysis, established the seed yield prediction equation. The results showed that the accuracy of the seed yield was predicted by the number of female flowers in the middle branch of the canopy, and the short-term prediction equation was established by using 4 information branches in the middle layer. According to the correlation analysis of climatic factors affecting the seed yield, , The relative humidity in June, the annual evaporation and the accumulated temperature ≥10 ℃ had the greatest impact on the flower bud differentiation and the seed yield in the next year. Therefore, the mid-term prediction equation for predicting the seed yield by the climatic factor was established.