摘要
针对浙江省缙云县2009年森林资源二类调查的310个杉木人工林小班数据,采用DPS软件的多元非线性回归技术对5种预选生长模型进行拟合,根据相关指数最大、剩余离差最小原则选出最优模型。结果表明,Logistic模型拟合效果最好。使用其方程建立杉木人工林各林分因子生长模型,结合相关公式编制出适合当地的杉木人工林经验收获表,并探讨此表在杉木人工林用材林资产评估方面的具体应用,为缙云县杉木林的经营决策提供依据。
The empirical yield tables were established to describe the growth process of the Chinese fir plantation（ Cunninghamia lanceolata） based on data of 310 sub-compartments at Jinyun county, Zhejiang province in 2009. The multivariate nonlinear regression technique of DPS（ Data Processing System）software was used to fit 5 kinds of pre-selected growth models. The optimal model was se- lected aceording to the maximum of relevant index and the minimum of residual dispersion. The results showed that ＂Logistic model＂ was the best. This paper used the parametric equation to establish Chinese fir plantation stand factor growth models and combined with the related formula to prepare empirical yield table for the local Chinese fir plantation. Finally, how to apply it to assess forest assets was discussed, which can provide basis information for the strategic decision and management of Chinese Fir plantation in Jinyun county.
出处
《森林工程》
2014年第1期1-4,共4页
Forest Engineering
基金
948计划资助(2013-4-63)
国家林业局公益性行业科研专项(200804006)
南京林业大学科技创新基金(CX2011-24)
