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林业资源管理 ›› 2009›› Issue (1): 80-83.doi: 10.13466/j.cnki.lyzygl.2009.01.014

• 科学技术 • 上一篇    下一篇

生态环境因子对阔叶林质量的影响——坡位与林分蓄积关系的研究

钱永平1, 李宝银1, 吴承祯2, 洪伟2, 洪滔2, 张艳艳2   

  1. 1.福建林业职业技术学院, 福建南平 353000;
    2.福建农林大学林学院森林生态研究所, 福州 350002
  • 收稿日期:2008-10-23 修回日期:2008-11-12 出版日期:2009-02-28 发布日期:2021-01-27
  • 通讯作者: 吴承祯, 教授, 博士生导师。Email:fjwcz@126.com
  • 作者简介:钱永平(1969-), 男, 福建福州人, 工程师, 主要研究方向:森林生态学和环境生态学。
  • 基金资助:
    国家教育部博士点学科科研基金(30671664);福建省林业厅科研基金资助(2005038900)

Influence of Environmental Factors on Broad-leaved Forest—Study on the Relationship between Stand Stock and Slope Position

QIAN Yongping1, LI Baoyin1, WU Chengzhen2, HONG Wei2, HONG Tao2, ZHANG Yanyan2   

  1. 1. Fujian Forestry Vocational Technological College, Nanping 353000, China;
    2. Institute of Forest Ecology, Forestry College, Fujian Agriculture and Forestry University, Fuzhou 350002, China
  • Received:2008-10-23 Revised:2008-11-12 Online:2009-02-28 Published:2021-01-27

摘要: 根据福建省森林资源连续清查第五次复查样地调查资料, 对750个天然阔叶林样地调查资料进行整理分析并进行卡方检验、剩余分析及log-线性模型的拟合, 以分析坡位与林分蓄积之间的关系。结果表明:卡方检验中坡位和林分蓄积的连带关系明显;剩余分析中林分蓄积随着坡位的改变, 从山谷到山顶而呈现逐渐减少的趋势, 这与有序连带测定结果基本一致, 但主效应估计分析结果与交互作用效应估计之间有一定的差异, 这种差异可能是由天然阔叶林受人为影响而造成的。

关键词: 阔叶林, 坡位, 林分蓄积, 列联表, log-线性模型

Abstract: According to the fif th forest invento ry in of Fujian Province, the data collectd from 750 plots were analy zed in this paper.After χ2 examination, the residual analysis and the log-linear simulating, relationships between stand stock and slope position were analyzed.The major results are as follow s:the relation of stand stock and slope position is obvious in χ2 examination;and the stand stock is decreasing with the changes of slope position from slope valley to mountain ridge, which is consistent with the results of the order association determination.But there are some differences between the estimations of major effect and interaction effect, which may result from the inf luence of human factors on the broad-leaved forest.

Key words: broad-leaved forest, slope position, stand stock, two-way contingency table, log-linear model

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