沙地樟子松球果产量的测报技术

通过对沙地樟子松连续10a球果产量的调查与分析，根据当地的气象资料，采用因子筛选法和线性回归模型，建立了樟子松球果产量的测报模型。结果表明：采用6月份的温雨系数预测g二年成熟球果的产量，回归关系显着；采用9月份的月均温预测第二年的成熟球果产量也有较好的吻合性。

Prediction Techniques of Cone Production for Scotch Pine in the Sandy Area

Through the continuous investigation and analysis of cone production for Scotch pine in the sandy area for ten years, the prediction models was established by using factor selection method and linear regression models according to the local climate materials. The result shows that there exists significant regression relationship using temperature and rain coefficient in June to predict the next year cone production, and it is also effective using average temperature in September to predict the next year cone production.