文章摘要
吴敏1 李春叶1,2 秦武明1 蓝柳凤2 吴方程1 李赟1.72年生细叶云南松天然林生长规律研究[J].广东农业科学,2014,41(2):61-65
查看全文    HTML 72年生细叶云南松天然林生长规律研究
The growth rhythm of 72-year-old Pinusyunnanensis var natural forest
  
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中文关键词: 细叶云南松  天然林  生长规律  生长模型
英文关键词: Pinus yunnanensis var natural forest growth rhythm growth model
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作者单位
吴敏1 李春叶1,2 秦武明1 蓝柳凤2 吴方程1 李赟1 1.广西大学林学院广西南宁530004 2.广西国有雅长林场广西百色533209 
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中文摘要:
      采用树干解析的方法对广西国有雅长林场72 年生细叶云南松天然林生长规律进行研究结果表明院72 年生细叶云南松天然林的平均胸径、树高和材积分别为53.40 cm(去皮26.3 m和2.5523 m3胸径在第1~9 年生长 缓慢第10~55 年进入快速生长期连年生长量曲线与平均生长量曲线相交于第54~55 年之后生长明显降低第9~ 34 年为树高生长的快速期连年生长峰值出现在第19 年,连年生长曲线与平均生长曲线相交于第34~35 年之间。材 积的连年生长在第1~11 年增长十分缓慢,材积累积量仅为0.0215 m3仅占总材积生长量的0.84%,第11 年之后材 积的增长迅速增加,第48 年时达到最大值0.0802 m3/年直到第68~69 年材积生长达到数量成熟经拟合的生长模 型有很高的精度其中胸径树高以及材积分别以威布尔模型、理查德模型和威布尔模型最优。
英文摘要:
      The growth rhythm of Pinus yunnanensis var natural forest in Guangxi Yachang Forest Farm were studied by the method of stem analysis. The results showed that the DBH, tree height and volume of 72-year-old P. yunnanensis var in a natural forest were 53.40 cm, 26.3 m, 2.5523 m3, respectively. The DBH with a poor growth in 1st~9th years, and the fast growing period of DBH was at 10~55th years. Current annual increment curve and average increment curve of DBH intersected in the 54~55th years, then current annual increment dropped rapidly. The fast growing period of tree height was during the 9~34th years, and the current annual increment curve of tree height reached the peak in the 19th years, and it intersected with the curve of average increment of tree height in the 34~35th years. Volume increment had a poor level in 1~11st years, volume cumulant was only 0.0215 m3, that was only 0.84% of the total volume cumulant. After that, the volume increment increased rapidly. The current annual increment of volume reached the peak, which was 0.0802 m3/a,in the 48th years. Volume increment didn爷t achieve the number of mature until the 68th~69th years. The growth models had high accuracy of fitting, and the optimal model of DBH, tree height and volume were weibull model, Richard and weibull model, respectively.
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