Taking 142 clones from 12 provenances of Toona sinensis （A. Juss.） Roem. as research objects, the phenotypic trait variations of T. sinensis clones from different provenances at seedling stage were investigated, and the correlations between their phenotypic traits and between phenotypic traits and geographical-climatic factors were explored. The results show that there are extremely significant differences （P<0.01） in phenotypic traits of T. sinensis clones at seedling stage both among provenances and within provenance, and the variation within provenance is greater than that among provenances. The range of average coefficients of variation of phenotypic traits of T. sinensis clones from 12 provenances at seedling stage is 18.17%-26.34%, and the coefficients of variation are relatively large. The cluster analysis result shows that at the Euclidean distance of 17, 12 test provenances of T. sinensis are divided into three groups, and there are evident phenotypic differentiations among the three groups, but there is no obvious correlation between the clustering results and the geographical distribution. The correlation analysis result shows that bark color of T. sinensis clones at seedling stage shows significant （P<0.05） and extremely significant negative correlations with seedling height and ground diameter, respectively, but has no significant correlations with leaf scar length and leaf scar width; seedling height shows a significant negative correlation with longitude, and a significant positive correlation with elevation; ground diameter shows a significant negative correlation with mean temperature diurnal range, and an extremely significant negative correlation with isothermality. In conclusion, the phenotypic trait variations of T. sinensis clones from different provenances at seedling stage are rich and mainly originate within provenance, which indicates the potential for selection of superior germplasm resources. Within the range of provenances collected, the geographical variation pattern of seedling height is dominated by variations in longitude and elevation.