中文摘要：

土壤生产力指数模型（Soil ProductivityIndex，简称PI）的简单实用性使其在国外土壤生产力评价及侵蚀对土壤生产力的影响评价等方面获得了广泛应用，但在中国国内却缺少该模型的系统性介绍和验证性研究。因此，论文在系统介绍纠模型的基础上，以东北松嫩黑土区为研究区，利用研究区17个土壤剖面理化性质数据和作物产量调查数据，比较分析了表土评价法（CI），原用模型以及根据研究区土壤特性订正过的PI模型（BPI）对土壤生产力的评价效果。结果表明：（1）讲法生产力指数差异小，不易将土壤生产力水平进行分异；PI和BPI模型生产力指数差异大，容易将土壤生产力水平进行分异；（2）3种模型生产力指数与正常年景玉米产量的线性回归结果，启Ⅳ模型最好（R^2=0．6774，P〈0．01），其次是肼模型（R^2=0．3357，P〈0．05），凹模型较差（R^2=0．0865），未通过显著性检验（P〉0．05）；（3）P1模型对于土壤有机质含量较低的土壤生产力水平出现高估，BPI由于引入有机质含量指标，评估效果明显改善。总体而言，PI型将一定厚度的土体作为对象综合评价土壤生产力，效果明显优于表土评价法，但在具体地区应用时，应根据当地土壤生产力影响因子的重要性，选择适当指标进行修订。东北地区有机质对作物生长十分重要，引入该指标后明显改善了PI模型对土壤生产力的评价效果。

英文摘要：

Since its simplicity and practicability, Soil productivity index model （PI for short） have found wide application in soil productivity assessment and assessment of long-term changes of soil productivity due to erosion in overseas. But, now there are no systematic report and verification research for this model in China. So, base on the systematic introduction of PI, the paper take Song Nen black soil region in Northeast China as study area, seventeen soil profiles in North-East black soil region were chosen, three different mod- els： Surface soil layer estimate （CI）, Productivity index model （P/） and modified productivity index model （BPI） were used based on physico-chemical properties of soil profile; finally, simulated results were compared with crop yield of these soil profiles, the results show： （1）the discrepancy of calculated index was close for CI model, it can not help to distinguish soil productivity between different soil; but the discrepancy were obvious for PI and BPI model, it is good for distinguishing soil productivity between different soil. （2） Correlation between productivity index and corn yield in common years were analyzed, The highest Determination coefficient with R^2=0.6774（P 〈 0.01） was appeared in BPI model, followed by PI model with R^2=0.3285（P 〈0.05）, the lowest was appeared in CI model （P 〉 0.05）. （3） PI model over-estimate the result for those soil with low organic content, after import organic factor in to the model, BPI got a better estimation for black soil. In conclusion, PI model take upper 100cm horizon soil as estimated object of soil productivity, the estimated accuracy is better than CI model. If organic factor was considered, the BPI model got a better estima- tion than PI model.