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通过不同土壤条件下幼苗磷吸收实测值与机理模型预测值的比较 ,检验了几种养分吸收机理模型对玉米与大豆幼苗磷吸收的预测能力 ,同时探讨了解析解模型与数值解模型的主要模拟误差来源及其改进方法。研究结果表明 :供试 3种机理模型均能较好地反映玉米与大豆幼苗的磷吸收变化情况 ;3种机理模型中 ,以建立于解析解基础上的SC模型的预测能力最低 ,而以考虑了根毛作用的C2模型的预测能力最强 ;影响机理模型预测能力的重要因素是土壤供磷水平 ,土壤供磷水平低时机理模型的预测能力明显降低 ;土壤养分缓冲容量b2 参数的选用能在一定程度上使数值解机理模型计入根介入的根际磷活化与吸收 ,从而提高数值解机理模型在土壤低供磷水平时的磷吸收预测能力 ;解析解模型的误差校正方程可明显提高其预测能力。
The phosphorus uptake ability of seedlings in maize and soybean was tested by comparing the measured values of phosphorus uptake and the predictive value of mechanism model under different soil conditions. The main simulations of analytic solution and numerical solution model were also discussed Sources of Errors and Methods of Improvement. The results showed that all of the three models could reflect the changes of phosphorus uptake in maize and soybean seedlings. Among the three models, SC model based on analytical solution had the lowest predictive power, The predominant ability of C2 model with root hair was the most important factor in prediction of mechanism model. The main reason for predicting ability of model was soil phosphorus supply. The prediction ability of mechanism model was obviously reduced when soil phosphorus supply was low. And to some extent, the numerical solution mechanism model can be included in the rhizosphere phosphorus activation and absorption at the root intervention level to improve the phosphorus absorption prediction ability of the numerical solution mechanism model at the low phosphorus supply level of the soil. The error correction equation of the analytical solution model can significantly improve Ability to predict.