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小班数据更新是地方森林资源监测和资源档案管理的需要， 实现它的必要条件是建立小班动态数据库和建立小班数据更新模型。本文着重对后者的现实林分建模中每年变化的大量的部分， 采伐的问题处理， 根据微变化调整原理， 提出变时相生长模型技术， 从而消除了误差逐年积累和放大的问题， 提高了小班数据更新的可靠性。参３
Small class data updating is the need of local forest resource monitoring and resource file management. The necessary condition for realizing it is to establish small class dynamic database and establish small class data updating model. This paper focuses on the large variety of annual changes in the latter’s stand model, logging problems, according to the principle of micro-change adjustment of the proposed phase-change growth model technology, thus eliminating the error accumulation and amplification year by year, raising The reliability of small class data update. Participation 3