天然异龄林资产评估收益现值法中择伐周期的改进  

Methodology Development of Selective Cutting Cycle of Income Approach of Natural Uneven-Aged Forest Resource Evaluation

作　　者：林进添[1,2] 

机构地区：[1]福建江夏学院会计学院,福建福州350108 [2]福建省社科研究基地财务与会计研究中心,福建福州350108

出　　处：《西南林业大学学报（自然科学）》2016年第1期84-90,共7页Journal of Southwest Forestry University：Natural Sciences

基　　金：福建省社会科学规划项目(2014C039)资助

摘　　要：通过分析天然异龄林林分平均生长率可拓聚类预测的建模机制,构建出可拓聚类预测的物元模型,并利用该模型对林分平均生长率进行预测。结果表明:该方法预测精度较高,用于天然异龄林林分生长率的确定是可行的。天然异龄林资产评估的收益现值法应用中,运用该可拓聚类预测法的生长率结果来确定择伐周期指标,可进一步改进完善收益现值法。In this thesis, mode-building mechanism of extension classified prediction was analyzed for naturaluneven-aged stands＇ average growth rate, and the element mode of extension classified prediction was built. Mean-while, the average growth rates were predicted with the model. The results showed that the method had high predic-tion accuracy, and was feasible to determinate natural uneven-aged stands＇average growth rate. Using the standgrowth rate with extension classified prediction to determine the selective cutting cycle, which was an index of in-come approach in the natural uneven-aged forest assets evaluation, was the improvement of income approach.

关 键 词：天然异龄林 可拓聚类预测 林分生长率 择伐周期 

分 类 号：S758[农业科学—森林经理学]