四种针叶低效林单株生长模型构建

以碳汇林基线情景低效针叶林,包括日本落叶松、杉木、马尾松、湿地松为研究对象,利用收集和调查的生物量与解析木实测数据,选择不同数学模型,通过曲线回归、非线性回归方法拟合模型参数,建立4个树种的单株生物量模型、胸径生长模型和树高生长模型。结果表明:4个树种的单株生物量模型、胸径生长模型采用相关系数较高、MSE值最小的幂函数模型、S模型拟合效果最好;4个树种的树高生长模型形式各异,日本落叶松、湿地松以Logistic模型拟合效果最好,杉木以抛物线模型拟合效果最好,马尾松以S模型拟合效果最好;检验结果表明,所建日本落叶松、杉木、马尾松、湿地松的生长模型预估精度均达到了95%以上,且都通过了F检验。

Construction of individual tree growth model of four kinds of low efficiency coniferous forest in Hunan Province

Based on the collection and investigation of biomass and parse data,we studied the low efficiency coniferous forest (Larix kaempferi,Cunninghamia lanceolata,Pinus massoniana,Pinus elliottii)of carbon sink forest’ s baseline scenario as the research object,and choose different mathematical models through the curve estimation and nonlinear re-gression model fitting parameter to establish individual tree biomass model,DBH growth model and tree height growth model of four species.The results show that:power model and S model was the best fitting effect to the individual tree bio-mass model and DBH growth model of four tree species,which had the high relatively and least MSE value.However,tree height growth model of four tree species in different forms:the Logistic model was the best fitting effect to L.kaempferi and P.elliottii,and the Quadratic model was to C.lanceolata and S model was to P.massoniana.The test results show that the prediction accuracy of the growth model of L.kaempferi,C.lanceolata,P.massoniana and P.elliottii,all reached more than 95%,and all of which had been tested by F.