木荷最优树高曲线基础模型的比较选择

Comparison and Selection of the Basal Tree Models for Optimum Tree Height Curve of Schima superb

以福建将乐国有林场不同立地、不同林龄的木荷林分标准地调查数据为基础,采用2参数和3参数的非线性模型对木荷的树高估算模型进行拟合、比较分析,选择较优树高估算模型。结果表明,Schumacher(1939)的2参数的树高曲线模型:H=1.3+a×exp(-b/D)和Curtis(1967)的3参数的树高曲线模型:H=1.3+exp(a+b×D^c)的拟合精度最高,且2个模型的拟合精度差异不明显,若采用传统非线性模型、人工神经网络和非线性混合效应模型等方法对比研究木荷树高曲线,可选择2个参数的Schumacher(1939)模型拟合即可。

Determining the optimal tree height curve model of Schima superba is very important for the field investigation of Schima superba,forecasting and evaluating Schima superba resources.Based on the standard survey data of Schima superba forest of different age and different forest sites in Jiangle county of Fujian,the tree height estimation model of Schima superba was fitted by using twoparameter and three-parameter nonlinear models.The comparative analysis and selection optimal tree height estimation model.The results show that the 2-parameter tree height curve model of H=1.3＋a×exp（-b/D） of Schumacher（1939） and the H=1.3＋exp（a＋b×Dc） 3-parameter of Curtis（1967） The fitting precision of tree height curve model is the highest.The fitting accuracy of 2 parameter and all 3-parameter are not obvious.If traditional nonlinear model,artificial neural network and nonlinear mixed effects model are used to compare the fitting precision of tree height Curve,a 2-parameter Schumacher（1939） model can be fitted.