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林业资源管理 ›› 2014, Vol. 0 ›› Issue (1): 52-55.doi: 10.13466/j.cnki.lyzygl.2014.01.011

• 科学研究 • 上一篇    下一篇

杉木伐倒木区分求积最佳适宜段数研究——以湖南省会同杉木人工林为例

孟楚1, 朱光玉2, 郑小贤1   

  1. 1.北京林业大学 森林资源与环境管理国家林业局重点实验室,北京 100083;
    2.中南林业科技大学 林学院,长沙 410004
  • 收稿日期:2013-11-22 修回日期:2013-12-05 出版日期:2014-02-28 发布日期:2020-12-09
  • 通讯作者: 郑小贤(1956-),男,教授,博导,主要从事森林可持续经营研究。Email:zheng8355@bjfu.edu.cn
  • 作者简介:孟 楚(1990-),女,湖北襄阳人,在读硕士,主要从事森林可持续经营研究。Email:MengChu2345@163.com
  • 基金资助:
    “十二五”国家科技支撑计划“南方集体林区生态公益林可持续经营技术研究与示范”(2012BAD22B05);国家自然科学基金青年基金项目(31100476/C1608);国家教育部科技发展中心青年教师基金项目(20114321120002)

Research on Optimal Feasible Sectional Segments of Sectional Measurement about Cunninghamia Lanceolata —A case of Huitong of Hunan province

MENG Chu1, ZHU Guangyu2, ZHENG Xiaoxian1   

  1. 1. State Forestry Administration Key Laboratory of Forest Resources and Environmental Management,Beijing Forestry University,Beijing 100083,China;
    2. Foresty College,Central South University of Forestry and Technology,Changsha 410004,China
  • Received:2013-11-22 Revised:2013-12-05 Online:2014-02-28 Published:2020-12-09

摘要: 以湖南省会同县杉木人工林为研究对象,对杉木伐倒木区分段数n与其材积v、平均实验形数fε的相关关系进行了分析,利用回归分析法建立了伐倒木区分段数n与平均实验形数fε的相关关系最优模型为公式。通过区分段数n与平均实验形数fε的相关关系散点图,指出最佳适宜段数nc=6。检验结果表明:模型精度高,适用性强,可为确定杉木伐倒木区分求积法的最佳适宜段数提供理论依据。

关键词: 杉木人工林, 区分求积法, 平均实验形数, 精度, 最佳适宜段数

Abstract: Cunninghamia lanceolata plantation which growed in Huitong of Hunan province was taken as research object,the relations between the sectional segments n of fallen trees,the volume v and the mean experimental form factors fε were analyzed.Regression method was used to establish an optimal regression model about sectional segments n and the mean experimental form factors fε.The optimal regression model is 公式.Through the scatter diagram of the sectional segments n and the mean experimental form factors fε,the optimal feasible sectional segments ncis six.The results showed that the model′s precision was high and usability was powerful,which provides theoretical basis for finding the optimal feasible sectional segments .

Key words: cunninghamia lanceolata plantation, sectional measurement, mean experimental form factors, precision, optimal feasible sectional segments

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