全林分生长收获模型的修正方法研究

Study on Correction Method for Whole Stand Growth and Yield Model

林分生长收获模型在森林经营管理中有着重要的作用,随着林分生长过程中相应的经营措施(如间伐、施肥等)的实施以及林分可能发生的病虫害等,会对林分生长产生影响,然而通常并未对已有模型进行及时的修正更新。针对这一问题,提出一种修正方法,按照模型参数求解、模型修正检验、模型深度修正这3个步骤来实现修正,直到误差小于设定的阈值,且被标记的异常数据不超过实际数据的1/2,停止修正,此时得到的参数值即为模型修正后得到的参数值。通过进行SPSS软件拟合林分模型和修正方法修正模型的对比实验,结果表明,修正方法可行,实现了模型的更新。把修正方法应用到Web平台,将会扩大林分生长收获模型的研究和应用范围。

The stand growth and yield model plays an important role in forest management. With the management measures of stand growth process （such as thinning, fertilization and so on） implemented and possible forest diseases and insect pests, this will have an impact on the stand growth, but normally existing models fail to be updated in time. To solve this problem, this paper proposed a correction method, accord- ing to the model＇ s parameter solving, the test of updated model and the deep correction of model to finish the correction. Until the error is lower than the set threshold, and the quantity of signed unusual data is lower than the half of whole data, stop updating. At this time, the ob- tained value is the desired value. Comparing the experiment which uses SPSS software to fit the model and use correction method to update models, it obtained experimental results： the correction method is feasible and can realize the model updating. The correction method can be applied to the Web platform and it will expand the research and application scope of both stand growth and yield model.