【Objective】As the Qinling Mountain is the division line between the two climate zones, south and north in China, the mountain, as a result of its huge variation in climate and altitude, has a great number of unique forest stands that have never been disturbed by human activities. Therefore, the study on the soils under these forests, including soil enzymes and nutrients, can be of great reference value to the studies on other types of soils, and may lay down a foundation for revelation of soil effects relative to forest stand and selection of optimal forest stands. 【Method】In this study, soils samples were collected from five typical types of forest stands ( Quercus aliena var acuteserrata, Pinus tabuliformis, Pinus armandii, Picea asperata, and pine-oak mixture) at various altitudes, for analysis of activities of seven soil enzymes and soil nutrients, so as further to determine relationships between the two as affected by type of the forest stand. 【Result】Results show that significant differences in soil enzyme activity and soil nutrient existed between the forest stands. Properties of the soils were significantly affected by type of forest and bio-environment conditions, such as attitude. The soil under Picea asperata (one of the dominant well-grown species in the Qinling Mountain) was the highest in organic matter, total N, alkalytic N, readily available potassium and slowly available potassium, and what is more, soil organic matter, total N and alkalytic N followed similar trends; soil alkaline phosphatase, fluorescein diacetate(FDA) hydrolase and the total enzyme activity index (TEI) were in significantly positive or extremely significant and positive relationships with soil nutrient, which indicates that forest and altitude have similar influences on the three types of enzymes like soil nutrient does. Principal component analyses (PCA) of sole soil enzyme activity and combination of soil chemical properties and soil enzyme activity were quite similar in result, with integrated scores significantly and positively related to the above-listed three enzymes. 【Conclusion】So soil alkaline phosphatase, FDA hydrolase and TEI can be used as indicators of quality of forest soils, especially soil alkaline phosphatase that can be easily used as a single enzyme indicator to reflect soil nutrient condition. Other than those, no soil enzymes are found so closely related to soil chemical properties.