包含CO2因子的冬小麦叶片光合作用农业气象简化模型研究

利用LI-6200便携式光合作用测定仪在山东农业大学实验基地对冬小麦叶片光合作用进行了大量观测,在此基础上,结合前人研究成果,建立了包含CO2浓度和温度因子的两个冬小麦叶片光合作用农业气象简易模型。利用50组观测数据对模型进行拟合,确定了两个模型各自相关的参数,回代拟合相关系数分别为0.796和0.793。进而利用所建立的模型对另外77组实测数据进行了模拟,结果表明:两个模型在0.01%的误差概率水平下模拟能力十分接近,模拟结果与实测数据相关系数分别为0.9613和0.9609,其中等轴双曲线型模型的模拟效果稍好于渐进指数型模型。因此,两个模型都具有较好的实用性,且等轴双曲线具有结构更加简单的特点,可作为农业气象作物模型中光合作用子模型。本研究为评估全球变化背景下CO2浓度增加对光合作用速率的影响提供了适用于华北地区的冬小麦叶片光合作用模型。

Studies on Simplified Agro-meteorological Models on Leaf Photosynthesis of Winter Wheat Including CO2 Impacts

Two simplified leaf photosynthesis models of winter wheat including the impact of CO2were established, based on the observed data which obtained with LI-6200 portable photosynthesis system in the experimental fields in Shandong Agricultural University. 50 group data were used in simulation to determine the parameters of models. The coefficients of correlation were 0.796 and 0.793. The validation of models using observed 77 group data showed that the simulation powers were almost the same as each other. The coefficients of correlation were 0.9613 and 0.9609 at 0.01% error possibility level. Therefore, the two models all possessed the trait of practicability. The model of hyperbolic form was simpler and easier to use than that of exponential form. So it could be used in the crop models as the sub-model of leaf photosynthesis, and was helpful theoretically to assess the impact of the variation of CO2concentration and temperature on the trend of production of winter wheat.