[1]张国飞,岳彩荣*,李春干,等. 巨尾桉人工林林分因子与林龄的关系模型及样地尺度效应[J].西北林学院学报,2020,35(6):176-184.[doi:10.3969/j.issn.1001-7461.2020.06.25]
 ZHANG Guo-fei,YUE Cai-rong*,LI Chun-gan,et al. Correlation and Sampling Scale Effect between Stand Factors and Age of Eucalyptus grandis×E.urophylla[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2020,35(6):176-184.[doi:10.3969/j.issn.1001-7461.2020.06.25]
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 巨尾桉人工林林分因子与林龄的关系模型及样地尺度效应()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第35卷
期数:
2020年第6期
页码:
176-184
栏目:
出版日期:
2020-11-30

文章信息/Info

Title:
 Correlation and Sampling Scale Effect between Stand Factors and Age of Eucalyptus grandis×E.urophylla
文章编号:
1001-7461(2020)06-0176-09
作者:
 张国飞1岳彩荣1*李春干2赵勋1
(1.西南林业大学 林学院,云南 昆明 650224;2.广西大学 林学院,广西 南宁 530004)
Author(s):
 ZHANG Guo-fei1YUE Cai-rong1*LI Chun-gan2ZHAO Xun1
 (1.College of Forestry,Southwest Forestry University,Kunming 650224,Yunnan,China; 2.College of Forestry,Guangxi University,Nanning 530004,Guangxi,China)
关键词:
巨尾桉人工林林分因子林龄广西
Keywords:
Eucalyptus grandis×E.urophylla stand factor stand age Guangxi
分类号:
S792.390.3
DOI:
10.3969/j.issn.1001-7461.2020.06.25
文献标志码:
A
摘要:
 揭示广西壮族自治区南宁巨尾桉人工林(2~9 a)的林分特征,研究主要林分因子与林龄的相互关系及在不同面积尺度上的适应性。巨尾桉人工林设置20个(30 m×30 m)方形大样地,每个方形样地中分成9个小样地(10 m×10 m),由4个小样地组成中样地(20 m×20 m)。采用Logistic、Gompertz、Richards和Korf 等4种经验模型模拟林分密度、平均直径、平均高、优势木高、胸高断面积、蓄积量等主要林分因子与林龄的相互关系。巨尾桉人工林林分平均直径、平均高、优势木高等林分与林龄呈极显著正相关,回归关系用Logistic经验模型拟合最好,相应3组检验决定系数(R2)均>0.5,3组测试样地的标准化残差落在[-2,2]带状区域中,表明3个模型在不同面积尺度样地上有较好的适应性;胸高断面积和每公顷蓄积量与林龄呈显著正相关,回归关系分别用Gompertz经验模型和Korf经验模型拟合最好,胸高断面积-林龄模型很好地适应中小样地(100、400 m2),在大样地(900 m2)中稍差;蓄积量-林龄模型很好地适应大、小样地(100、900 m2),在中样地(400 m2)中稍差。巨尾桉人工林林分胸径分布呈现近似正态分布,呈现增长型趋势;林分平均直径、平均高、优势木高与林龄回归关系用Logistic经验模型拟合最好,100 m2样地大小已具备反映这3个林分因子与年龄的生长规律;胸高断面积和每公顷蓄积量与林龄回归关系分别用Gompertz经验模型和Korf经验模型拟合最好,胸高断面积、蓄积量与林龄的相关性具有较大的空间异质性;林分密度与林龄无显著相关性。
Abstract:
 To understand the stand characteristics of Eucalyptus grandis×E.urophylla plantations (2-to 9-year-old) occurring in Nanning of Guangxi;to study the relationships between the main stand factors and stand age;to examine the adaptability of the models in different area scales.Twenty big sample plots (30 m×30 m) were set up within the E.grandis×E.urophylla plantation.Each plot was further divided into 9 small sample plots (10 m×10 m).A medium size plot was constructed by 4 small sample plots (20 m×20 m).Four empirical models,including Logistic,Gompertz,Richards and Korf models,were used to analyze the relationships between main stand factors (such as stand density,average DBH,mean height,dominant tree height,section area of breast height,and stand volume,etc) and stand age.Stand factors,such as average DBH,mean height and dominant tree height,were positively correlated with stand age,which were best fitted by Logistic empirical model.The R2 of three test samples were all greater than 0.5,and the standard residuals of three test samples fell in the [-2,2] strip region,indicating that the three models had good adaptability in different area scales (100,400,and 900 m2).In a similar way,section area of breast height and stand volume presented significantly positive correlation with stand age,which were best fitted by Gompertz empirical model and Korf empirical model,respectively.The relationship model of section area of breast height and stand age was well adapted to the medium and small sample plots (100 and 400 m2),but not to the large sample plots (900 m2).The relationship model of stand volume-stand age well adapted to the big and small sample plots (100 and 400 m2),but not to the medium sample plots (400 m2).The DBH distribution of E.grandis×E.urophylla plantation showed an approximate normal distribution and an increasing trend.Stand factors,including average DBH,mean height and dominant tree height,were positively correlated with stand age,which were best fitted by Logistic empirical model.The sample plot with an area of 100 m2 was sufficient to establish the growth law reflecting the three stand factors and stand age.The regression relationship between section area of breast height,stand volume and stand age was best fitted by Gompertz empirical model and Korf empirical model,respectively.The correlation between section area of breast height,stand volume and stand age had great spatial heterogeneity.There was no significant correlation between stand density and stand age.

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备注/Memo

备注/Memo:
 收稿日期:2019-12-05修回日期:2020-01-02
基金项目:国家自然科学基金(31860182、31260156、41571372);云南省教育厅科学研究基金(2018JS330);星载SAR多频段极化干涉数据森林树高反演(42061072)。
作者简介:张国飞,博士在读。研究方向:森林遥感应用。E-mail:info1979@163.com
*通信作者:岳彩荣,博士生导师。研究方向:森林遥感应用。E-mail: 1207709049@qq.com
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