Site class growth model of Pinus massoniana Lamb Forest was established by using forest management inventory data of Guangxi Longan County and modifying common growth model structures, and Pinus massoniana Lamb site class table of Guangxi Longan County were also worked out . The results showed that: (1) Forest average height growth models of site class could be established with very good property and high predictive precision, by only using forest management inventory data, and do not have to add additional field investigation work; (2) The modified Korf growth model of ( H = 34. 862012×exp ( - 5. 27302× exp ( - 0. 543543×A ) ) - 0. 052398×A×S) was the best one among testing models, which the relative error was less than 3% and predictive precision was larger than 98% ; (3) The site class table and growth model could be used to estimate site quality and forecast forest process of growth, harvest yield, and make afforestation plan. Comparing with site index table, site class table was more convenient and high-efficiency.%利用广西隆安县森林资源规划设计调查数据,通过改进常用生长模型结构,建立了马尾松地位级生长模型,并编制了隆安县马尾松地位级表.研究结果显示:①利用森林资源规划设计调查数据资料,不必增加额外的外业调查工作,即能建立性能良好、预估精度高的地位级平均树高生长模型;②通过改进Korf生长函数模型结构获得的地位级生长模型(H =34.862012×exp(-5.27302×exp(-0.543543×A))-0.052398×4×S)最优良,总相对误差小于3％,预估精度达98％以上;③地位级模型(表)在立地质量评价、林木生长过程和收获量预测、营林树种布局和结构调整等森林经营管理工作中可发挥积极作用,且比地位指数表的使用更简便、高效.
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