(三)转换矩阵模型转换矩阵模型,提供一种基于用反复测定的大数量、低质量的资料,预测短期森林蓄积量的方法。矩阵模型可以进一步发展,例如,基于相同地区附近的固定样地或临时样地的森林连续清查数据,在这些地区只测定树木的直径和树种组。这种方法可以用于包括一些有效数量错误量测的数据。短期预测,在本文是指四十年或五十年,或一个采伐循回期。该方法是客观的,但未必很精确。它的主优点是:基本数据可以自动地分析,並且可 (III) Transformation matrix model The transformation matrix model provides a method for forecasting short-term forest stock based on the large quantity and low quality data repeatedly measured. Matrix models can be further developed, for example, based on continuous forest inventory data for fixed or temporary plots near the same area where only the diameter and tree species of the tree are determined. This method can be used to include some effective amount of error measurement data. Short-term projections, in this paper, refer to forty or fifty years, or a logging recovery period. This method is objective, but not necessarily accurate. Its main advantage is that basic data can be automatically analyzed and available