永顺县马尾松干材密度变化特征
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摘要
采用标准地调查与方差分析、统计假设检验相结合的方法,从整树和相对高度两个角度对湖南省永顺县马尾松干材密度进行分析。结果表明:同一马尾松人工林中被压木干材密度最大,平均木次之,优势木最小;各高度干材密度变化范围为364.73～516.39 kg.m-3,样木内干材密度的变动系数在1.96%～13.36%之间,平均变动系数为7.24%,0.2～0.8 H(H为树高)处双样本分析的t检验大于临界值2.042,0.1H处t检验值绝对值最小,为-0.740,在外业调查中可以用树干基部密度代替整株树干密度。样木DBH处密度t检验值为-2.717,因此不能把胸径处的密度等同于整株干材密度,建立胸径密度与整株干材密度的回归模型。采用3种一元回归模型研究干材密度与林分年龄之间的相互关系,增加DBH作为自变量,建立二元回归模型,提高模型模拟的精度。
By combining standard investigation method,variance analysis and statistical hypothesis test,the wood density of Pinus massoniana plantation in Yongshun county,Hunan province was investigated from two aspects,i.e.,whole-tree and relative height.The suppressed trees had the largest wood density,following with the mean trees,while that of the dominant trees was the smallest.The stem wood densities with different height varied from 364.73 kg.m-3 to 516.39 kg.m-3,the variation coefficients of sample trees with different height changed from 1.96% to 13.36%,the average coefficient was 7.24%,and the relative height had not significant effects on the wood density.The absolute values of t-test on the height of 0.2 H to 0.8 H were bigger than the critical value,and that on the height of 0.1 H was-0.740,which was the smallest.When there is a need to estimate wood density in outdoor investigation,the trunk base wood density could be used to replace the wood density of the whole tree.The paired two sample t-test indicated that the density of DBH was not equal to whole tree wood density.Thus,a regression model was established to help us figure out the relationship between the density of DBH and wood density.Three different linear regression models were applied to find out the relationship between tree age and wood density.By adding DBH as the independent variable,the binary regression model used highly increases the accuracy of model simulation.
By combining standard investigation method,variance analysis and statistical hypothesis test,the wood density of Pinus massoniana plantation in Yongshun county,Hunan province was investigated from two aspects,i.e.,whole-tree and relative height.The suppressed trees had the largest wood density,following with the mean trees,while that of the dominant trees was the smallest.The stem wood densities with different height varied from 364.73 kg.m-3 to 516.39 kg.m-3,the variation coefficients of sample trees with different height changed from 1.96% to 13.36%,the average coefficient was 7.24%,and the relative height had not significant effects on the wood density.The absolute values of t-test on the height of 0.2 H to 0.8 H were bigger than the critical value,and that on the height of 0.1 H was-0.740,which was the smallest.When there is a need to estimate wood density in outdoor investigation,the trunk base wood density could be used to replace the wood density of the whole tree.The paired two sample t-test indicated that the density of DBH was not equal to whole tree wood density.Thus,a regression model was established to help us figure out the relationship between the density of DBH and wood density.Three different linear regression models were applied to find out the relationship between tree age and wood density.By adding DBH as the independent variable,the binary regression model used highly increases the accuracy of model simulation.
引文
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[12]黄清麟,李元红.小径阔叶树干树干容积密度变化规律的研究[J].福建林学院学报,1994,14(3):201-204.
[13]费本华.板栗木材密度和直径生长的研究[J].经济林研究,2000,18(1):22-25.
[14]北京林业大学主编.测树学[M].北京:中国林业出版社,1987.72-77.
[15]刘盛全.刺楸木材基本密度的变异研究[J].林业科技通讯,1996,(10):9-11.
[16]大隅真一著.森林计测学[M].于璞和等译.北京:中国林业出版社,1984.144-151.
[17]曹国华,王洪,张金池.江苏泥质海岸主要造林树种树干密度变异规律[J].林业科技开发,2009,6(23):70-72.
[18]袁志发,宋世德主编.多元统计分析[M].北京:科学出版社,2009.116-155.
[19]北京林学院主编.数理统计[M].北京:中国林业出版社,1980.175-198,275-276.
[2]吴鹏,丁访军,许丰伟,等.黔南马尾松人工林生长规律研究[J].中南林业科技大学学报,2011,31(8):51-55.
[3]田大伦.马尾松和湿地松林生态系统结构与功能[M].北京:科学出版社,2005.6-128.
[4]李建安,吕芳德,何志祥,等.湘西坡耕地主要经济林生态经营模式与效果[J].经济林研究,2008,26(4):12-16.
[5]丁贵杰,周志春,王章荣,等.马尾松纸浆用材林培育与利用[M].北京:中国林业出版社,2005.35-245.
[6]Takaaki Fujimoto,Kazuhito Kita,Kazuko Uchiyama,MakotoKuromaru,Hisashi Akutsu,Kazuyuki Oda.Age trends in thegenetic parameters of wood density and the relationship withgrowth rates in hybrid larch(Larix gmelinii var.japonica×L.kaempferi)F1[J].Journal of Forest Research,2006,11:157-163.
[7]Sotelo Montes C,Beaulieu J,Hernandez R E.Genetic variationin wood mechanical properties of Calycophyllum spruceanum atan early age in the Peruvian Amazon[J].Wood Fiber Sci,2007,39:578-590.
[8]朱丽梅,胥辉.思茅松树干平均密度估计方法研究[J].生态学报,2008,2(28):17-20.
[9]吕勇,陈亮明.马尾松干材容积密度的探讨[J].林业资源管理,1996,(5):54-56.
[10]袁传武,张华,张家来.武汉市江夏区碳汇造林基线碳储量的计量[J].中南林业科技大学学报,2010,30(2):10-15.
[11]A.Gutierrez Oliva V.Baonza Merino.Effect of growthconditions on wood density of Spanish Pinus nigra[J].Wood SciTechnol,2006,40:190-204.
[12]黄清麟,李元红.小径阔叶树干树干容积密度变化规律的研究[J].福建林学院学报,1994,14(3):201-204.
[13]费本华.板栗木材密度和直径生长的研究[J].经济林研究,2000,18(1):22-25.
[14]北京林业大学主编.测树学[M].北京:中国林业出版社,1987.72-77.
[15]刘盛全.刺楸木材基本密度的变异研究[J].林业科技通讯,1996,(10):9-11.
[16]大隅真一著.森林计测学[M].于璞和等译.北京:中国林业出版社,1984.144-151.
[17]曹国华,王洪,张金池.江苏泥质海岸主要造林树种树干密度变异规律[J].林业科技开发,2009,6(23):70-72.
[18]袁志发,宋世德主编.多元统计分析[M].北京:科学出版社,2009.116-155.
[19]北京林学院主编.数理统计[M].北京:中国林业出版社,1980.175-198,275-276.