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林业科学 ›› 1999, Vol. 35 ›› Issue (1): 77-82.

• 论文及研究报告 • 上一篇    下一篇

人工林杨树材性与生长轮年龄和生长速度关系的模型

鲍甫成1,刘盛全2,江泽慧1   

  1. 1. 中国林业科学研究院 北京 100091
    2. 安徽农业大学 合肥 230036
  • 收稿日期:1998-05-14 出版日期:1999-01-25 发布日期:1999-01-25
  • 基金资助:
    “九五”国家科技攻关专题(96-011-03-05)

MODELING WOOD PROPERTIES IN RELATION TO CAMBIUM AGE AND GROWTH RATE IN POPLAR PLANTATION

Fucheng Bao1,Shengqua Lui2,Zehui Jiang1   

  1. 1. Chinese Academy of Forestry Beijing 100091
    2. Anhui Agriculture University Hefei 230036
  • Received:1998-05-14 Online:1999-01-25 Published:1999-01-25

摘要:

本文以生长在3种长江滩地类型(江滩、洲滩、湖滩)、3种栽植密度(3m×4m、4m×5m、5m×6m)下的3个品系速生人工林杨树木材[欧美杨无性系72杨(Populus×euramericana cv.Ⅰ-72/58),美洲黑杨无性系63杨(P.deltoides cv.Ⅰ-63/51)和69杨(P.deltoides cv.Ⅰ-69/55)]为对象,首次分别建立了长江滩地速生杨树纤维长度(FL),微纤丝角(FA)和木材密度(WD)随生长因子中的生长轮年龄(CA)和年轮宽度(RW)变化的模型,即:FL=765.07+119.77CA-6.15CA2-1506.97(1/RW)+365.18(CA/RW)-18.02(CA2/RW)FA=9.643+0.061RW+2.376(1/CA)-0.201(RW/CA)WD=0.447-0.003CA+0.004(1/RW)+0.004(CA/RW)从检验结果来看,纤维长度随生长轮年龄和生长速度变化的模型能够较好地预测长江滩地人工林杨树不同单株纤维长度的变化(r=0.989),而微纤丝角和木材密度随生长轮年龄和生长速度变化的模型对长江滩地人工林杨树株内微纤丝角和木材密度能够较好地预测(r=0.209~0.999),但对长江滩地人工林杨树不同单株间微纤丝角和木材密度的变化(r=0.118~0.143)预测效果不理想。

关键词: 人工林杨树, 木材性质, 生长轮年龄, 生长速度, 材性与生长轮年龄和生长速度关系模型

Abstract:

In this study, the wood of Poplar 72 (Populus×euramericana cv.Ⅰ-72/58), Poplar 63(P.deltoides cv.Ⅰ-63/51) and Poplar 69(P.deltoides cv.Ⅰ-69/55)grown in three different beaches(river beach, islet beach and lake beach) of the Yangtse River with three different row spacings(3m×4m, 4m×5m and 5m×6m)were selected as the materials. Based on the relationships beween wood properties and the cambium age(CA), the ring width (RW) revealed, the fiber length (FL), the microfibillar angle(FA) and the wood density (WD) varied with CA and RW were firstly quantitatively modeled with stepwise regression analysis methods. The results are as follows:FL=765.07+119.77CA-6.15CA2-1506.97(1/RW)+365.18(CA/RW)-18.02(CA2/RW)FA=9.643+0.061RW+2.376(1/CA)-0.201(RW/CA)WD=0.447-0.003CA+0.004(1/RW)+0.004(CA/RW)It was revealed from the results that FL of poplar plantation can be better predicted with above model of FL varied with CA and RW(r=0.989) and FA and WD within a poplar tree can also be better predicted with above models of FA and WD varied with CA and RW(r=0.209~0.909), except for the prediction of FA and WD(r=0.118~0.143) among different poplar trees.

Key words: Poplar plantation, Wood properties, Growth ring, Growth rate, Models of relationships between wood properties and CA and RW