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格木人工林节子的分布特征及预测模型

郝建 蒙明君 黄德卫 韦菊玲 李忠国 唐继新 徐大平

南京林业大学学报(自然科学版)2017,Vol.41Issue(3):100-104,5.
南京林业大学学报(自然科学版)2017,Vol.41Issue(3):100-104,5.DOI:10.3969/j.issn.1000-2006.201603057

格木人工林节子的分布特征及预测模型

Distribution and statistical analysis of knots in Erythrophleum fordii plantations

郝建 1蒙明君 2黄德卫 1韦菊玲 1李忠国 1唐继新 1徐大平1

作者信息

  • 1. 中国林业科学研究院热带林业实验中心,广西凭祥532600
  • 2. 中国林业科学研究院热带林业研究所,广东 广州 510520
  • 折叠

摘要

Abstract

[Objective] In order to investigate the formation and distribution characteristics of knots during the process of Erythrophleum fordii growth,and screen out the key factors to establish a multiple regression model to predict the effects on branch wood after forming knot by step wise regression analysis.[Methods] Thirty years old E.fordii plantation was researched by using a stem analysis method.[Results] The results indicated that compared with geographical location,slope direction was the important factor influencing the distribution of E.fordii branches.Most knots were distributed on the highest utilization region of E.fordii trunks (2.0-8.0 m),which seriously reduced the wood utilization value.When branch angle was less than 60°,the knot diameter was greater than 2.5 cm.As the branch diameter increased,the length between dead knots and the span of knots in xylem was larger.Peak forming on branches occurred at 1-15 years.Branch wound healing was concentrated at 16-25 years,and most dead knots formed at 11-20 years,which was the critical period for the control of dead knot formation.Diameter of the branch (BD),insertion angle of the branch (IA),and year of birth of the branch (YB) were selected as key factors to establish a multiple regression model by step wise regression analysis,yRT =1.634 4xBD+ 0.067 8xIA+ 0.164 8 xYB-1.611 4 (F =106.869 7,P =0.000 1).[Conclusions]The model was suitable to predict the effects on branch wood caused by knot formation.

关键词

格木/节子/分布特征/预测模型

Key words

Erythrophleum fordii/knot/distribution characteristics/predicting model

分类

农业科技

引用本文复制引用

郝建,蒙明君,黄德卫,韦菊玲,李忠国,唐继新,徐大平..格木人工林节子的分布特征及预测模型[J].南京林业大学学报(自然科学版),2017,41(3):100-104,5.

基金项目

广西自然科学基金青年基金项目(2015GXNSFBA139057) (2015GXNSFBA139057)

中国林业科学研究院热带林业实验中心主任基金项目(RL2011-04号) (RL2011-04号)

南京林业大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1000-2006

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