| 摘要: |
| 以2009年忻城县集体林区森林资源规划设计调查小班数据库的小班为样本单元,分松类、杉类、速生桉、阔叶树4个优势树种组,应用Logistic和Richard曲线回归模型拟合小班林木年龄(a)与林分每公顷蓄积量(M)的生长模型,然后根据各生长模型计算忻城县集体林区、欧洞林场、桃源林场3个林区林分连年生长率、连年生长量和平均生长量。结果表明,忻城县松类、杉类、速生桉、阔叶树生长模型分别为M=136.9639/(1+51.3727e0.2295a),M=144.4078/(1+16.6000e0.2120a),M=163.0894/(1+33.2045e0.9546a),M=118.3961(1-e-0.2203a)27.5348。忻城县集体林区、欧洞林场、桃源林场林分的连年生长量小于平均生长量,林分生长均进入成熟期。4种优势树种组中,松类生长势最强的是集体林区林分,最弱的是桃源林场林分;杉类生长势最强的是桃源林场林分,最弱的是欧洞林场林分;速生桉、阔叶树生长势最强的是桃源林场林分,最弱的是集体林区林分。 |
| 关键词: 森林生长量 生长模型 优势树种组 数据库 |
| DOI： |
| 投稿时间：2011-01-07修订日期：2011-03-16 |
| 基金项目: |
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| Growth Model of Dominant Tree Species Based on Database of Small Forest in Xincheng County |
|
LIU Jian-min
|
| (Guangxi Nanning Forestry Survey and Design Institute, Nanning, Guangxi, 530001, China) |
| Abstract: |
| The sample element, from the forest inventory planning and design database in Xincheng collective forest area in 2009, is divided into four dominant kinds of tree species, including pine, broad-leaf tree, fast growing eucalyptus and Chinese fir.Logistic curve regression model and Richard curve regression model are applied to fit the regression model from the tree ages (a) and the forest trees per hectare (M), then the current annual growth percentage, the current annual increment, and the mean increment are calculated from three forest areas in Xincheng, including the collective, Oudong and Taoyuan.The results show that the growth model of the pine, Chinese fir, fast growing eucalyptus and broad-leaf tree are M=136.9639/(1+51.3727e0.2295a), M=144.4078/(1+16.6000e0.2120a), M=163.0894/(1+33.2045e0.9546a), and M=118.3961 (1-e-0.2203a)27.5348.The current annual increment is less than the mean increment in the three areas, indicating that the forest growth enters into the mature period.The strongest growth potential of pine is in the collective forest area, with the weakest in Taoyuan, the strongest growth potential of the Chinese fir is in Taoyuan forest, with the weakest in the Oudong, and the strongest growth potential of the fast growing eucalyptus, hardwood is in Taoyuan forest, with the weakest in the collective forest area. |
| Key words: forest growth growth model dominant species database |
