中文摘要：

基于研究区194个土壤样点数据，利用方差分析、主成分分析及其他相关统计方法确定了苏州市土壤质量评价最小数据集（MDS）。与先前研究不同的是，本研究将土地利用方式及利用年限对土壤质量的影响作为进入MDS的衡量标准之一；此外，计算了每个候选的土壤理化变量在所有主成分上的综合荷载，而不是只比较该变量在某一个主成分上的荷载就剔除其他变量，从而避免了丢失过多的土壤质量信息。最后对该方法的可靠性从不同角度进行了验证，对54个黄泥土样点、77个黄松土样点及所有194个样点数据分别采用该MDS确定方法，得到了同样的最小数据集。这说明该方法具有很好的稳定性、可重复性，加以完善后，本方法完全可以借鉴到其他地区，从而一定程度上能够克服由于我国地域广、各地情况差异大而采用不同的土壤质量评价方法，最后得到的评价结果难以比较的缺点。

英文摘要：

Based on 194 soil samples collected from the studied zone in the suburbs of Suzhou, a minimum dataset （MDS） for soil quality assessment was defined and developed with the aid of multivariate statistical techniques, such as multivariate analysis, principal component analysis and correlation analysis. Different from related previous work, the study took into account effects of the pattern and duration of land-use on soil quality as an index of MDS, and worked out integrated load of each candidate soil physico-chemical variable on all principal components with eigenvalue 〉 1 rather than just compare the load of a variable on a principal component and then rule out the others, thus avoiding losing too much soil quality information. Finally, reliability of the method was validated from different angles by applying the method to 54 Huangnitu samples, 77 Huangsongtu samples and all the 194 samples. The same MDS produced suggestes that the method is very good in stability and reproducibility. Once the method is improved, it could be extrapolated to other soil types in other areas of China, so as to overcome the shortcoming of uncomparability of the results of soil quality assessment using different methods because the soils vary so much in geographic distribution and natural conditions.