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樟子松人工林生长与收获预估模型的研究
引用本文:许家春. 樟子松人工林生长与收获预估模型的研究[J]. 中国林副特产, 2019, 0(5): 37-39
作者姓名:许家春
作者单位:黑龙江省第一森林调查规划设计院
摘    要:
以可变密度全林分预估模型理论为指导,探讨建立了樟子松人工林地位级指数和林分密度指数经验方程,结合林分密度动态预估模型,建立了樟子松人工林断面积预估模型和蓄积量预估模型。经检验模型预测值与实测值误差为3.64%,模型精度96.37%。

关 键 词:樟子松  蓄积量  预估模型

Study on Growth and Harvest Prediction Model of Pinus sylvestris Linn. var. mongolica Litv.Plantation
Xu Jiachun. Study on Growth and Harvest Prediction Model of Pinus sylvestris Linn. var. mongolica Litv.Plantation[J]. Forest By-product and Speciality in China, 2019, 0(5): 37-39
Authors:Xu Jiachun
Affiliation:(The First Forest Survey Planning and Design Institute of Heilongjiang Province,Mudanjiang,Heilongjiang 15700)
Abstract:
Based on the theory of variable density total stand prediction model, the empirical equation of positional index and stand density index of Pinus sylvestris var. mongolica plantation were established,combined with the dynamic prediction model of stand density, the basal area prediction model and the volume prediction model of P.sylvestris var. mongolica plantation were established.The error between the predicted value and the measured value was 3.64%, and the precision of the model was 96.37%.
Keywords:Pinus sylvestris var. mongolica  Stock volume  Prediction model
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