包括气候变量的大尺度柏木胸径单木生长模型

Large scaled cedar DBH growth models including climatic variables

利用多期森林资源连续清查的近3 000株柏木单木生长数据,建立了2种中北亚热带地区柏木单木胸径生长的大尺度统一模型,模型调整后决定系数都超过0.6。其中全模型包括更多林分的因子,方便模型则只包括易于从地形和林相图等中获取的变量,更方便大尺度上的应用。这些模型都包括气候变量。结果表明,对于大尺度上的柏木生长,地理位置和年均积温影响最大。这些模型为研究大尺度上的森林生态系统生产力和气候变化提供了工具。

By using nearly 3000 single-tree DBH growth data from multi-stage continuous forest inventory, the unified model for large scales for diameter at breast height of two cypress-tree grown in north subtropical area were established. After adjusted, the determination coefficients of the models were higher than 0.6. Of them, the all-variable model included more forest stand factors, while the easily-used model only included the variables which are easy to get from the terrain and forest form map, thus applying on a large scale more conveniently. The obtained models revealed that the geographic positions and annual mean accumulated temperature played more important roles in annual DBH growth than other factors. These models provide tools for researching ecosystem productivity and effects of climatic changes on ecosystem.