基于树高-年龄分级的广东枫香生长模型
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摘要
基于广东省第八次森林资源连续清查样地的枫香分布情况,在广东省内选取90株不同径阶枫香伐倒木(其中40株树干解析木),开展不同立地等级的枫香生长模型研究。结果表明:1)枫香胸径、树高、材积未分级拟合的最优模型均为Gompertz模型,模型形式依次为D=43.100e~((-3.277e-0.067T)),H=19.404e~((-2.336e-0.111T)),V=1.244e~((-6.992e-0.069T))。2)采用Gompertz模型建立树高-年龄3个立地分级曲线,确定每株样木的立地分级,3个立地等级的胸径生长模型依次为D_1=61.724(1-e~(-0.049T))~(1.915),D_2=51.992/(1+12.946e~(-0.088T)),D_3=36.135e~((-3.090e-0.060T));树高的最优模型依次为H_1=26.704e~((-1.997e-0.099T)),H_2=20.035e~((-2.234e-0.099T)),H_3=15.031e~((-2.471e-0.099T));材积的最优模型依次为V_1=3.335(1-e~(-0.044T))~(3.798),V_2=1.629e~((-7.434e-0.060T)),V_3=1.087/(1+163.827e~(-0.127T))。3)使用分级方法构建的枫香胸径、树高、材积模型拟合效果灵敏度较好、精度较高,总体效果要优于未分级方法构建的模型。
All 90 sample trees of Liquidambar formosana were obtained in 10 diameter classes including40 stem analysis,based on the 8th Consecutive Forest Inventory data of the distribution of camphor in Guangdong Province in 2012,the growth models of different site grades of Liquidambar formosana were studied.The results showed that:(1)optimal equations to simulate the growth process of DBH,tree height and volume were of Gompertz,which were as follows:D=43.100e~((-3.277e-0.067T)),H=19.404e~((-2.336e-0.111T)),V=1.244e~((-6.992e-0.069T)).Using Gompertz equations to establish the tree height-age classified model and determine the site classification of each tree.The optimal models of DBH were as follows:D_1=61.724(1-e~(-0.049T))~(1.915),D_2=51.992/(1+12.946e~(-0.088T)),D_3=36.135e~((-3.090e-0.060T)).The optimal models of tree height were as follows:H_1=26.704e~((-1.997e-0.099T)),H_2=20.035e~((-2.234e-0.099T)),H_3=15.031e~((-2.471e-0.099T)).The optimal models of volume were as follows:V_1=3.335(1-e~(-0.044T))~(3.798),V_2=1.629e~((-7.434e-0.060T)),V_3=1.087/(1+163.827e~(-0.127T)).(3)The optimal model of classified and unclassified method is different,the fitting models of using classified method in DBH,tree height,volume were better than unclassified model.
All 90 sample trees of Liquidambar formosana were obtained in 10 diameter classes including40 stem analysis,based on the 8th Consecutive Forest Inventory data of the distribution of camphor in Guangdong Province in 2012,the growth models of different site grades of Liquidambar formosana were studied.The results showed that:(1)optimal equations to simulate the growth process of DBH,tree height and volume were of Gompertz,which were as follows:D=43.100e~((-3.277e-0.067T)),H=19.404e~((-2.336e-0.111T)),V=1.244e~((-6.992e-0.069T)).Using Gompertz equations to establish the tree height-age classified model and determine the site classification of each tree.The optimal models of DBH were as follows:D_1=61.724(1-e~(-0.049T))~(1.915),D_2=51.992/(1+12.946e~(-0.088T)),D_3=36.135e~((-3.090e-0.060T)).The optimal models of tree height were as follows:H_1=26.704e~((-1.997e-0.099T)),H_2=20.035e~((-2.234e-0.099T)),H_3=15.031e~((-2.471e-0.099T)).The optimal models of volume were as follows:V_1=3.335(1-e~(-0.044T))~(3.798),V_2=1.629e~((-7.434e-0.060T)),V_3=1.087/(1+163.827e~(-0.127T)).(3)The optimal model of classified and unclassified method is different,the fitting models of using classified method in DBH,tree height,volume were better than unclassified model.
引文
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[12]段劼,马履一,贾黎明,等.北京低山地区油松人工林立地指数表的编制及应用[J].林业科学,2009,45(3):7-12.
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[14]翁琳琳,蒋家淡,张鼎华,等.乡土树种枫香的研究现状与发展前景[J].福建林业科技,2007,34(2):184-189.
[15]国家林业局. LY/T2259-2014,立木生物量建模样本采集技术规程[S].北京:中国林业出版社,2014.
[16]周火明,贺勇,侯梅,等.红安县枫香天然次生林生长规律研究[J].湖北林业科技,2015,44(4):17-20.
[17]周火明,毛燕,向莉,等.鄂东北枫香混交林生长规律研究[J].华东森林经理,2017,31(1):37-40.
[2]刘平书.云南普洱县森林立地质量评价[J].林业调查规划,2004,29(3):13-15.
[3]曾春阳,唐代生,唐嘉锴.森林立地指数的地统计学空间分析[J].生态学报,2010,30(13):3465-3471.
[4]吴晓丽,杨春玉.森林立地质量定量评价方法[J].内蒙古林业调查设计,2015,38(1):29-31.
[5] Fonweban J N,Tchanou Z,Defo M. Site index equations for Pinus kesiya in Cameroon[J]. Journal of Tropical Forest Science,1995,8(1):24-32.
[6] Bruce K. Site Index Systems for Major Young-growth Forest and Woodland Species in Northern California[D]. Ph D Thesis San Diego,CA:University of California,2005.
[7] Cieszewski C J. Comparing fixed and variable-base-age site equations having single versus multiple asymptotes[J]. Forest Science,2002,48(1):7-23.
[8] Sharma R P,Brunner A,Eid T,et al. Modelling dominant height growth from national forest inventory individual tree data with short time series and large age errors[J]. Forest Ecology and Management,2011,262(12):2162-2175.
[9]朱光玉,康立,何海梅,等.基于树高-年龄分级的杉木人工林多形立地指数曲线模型研究[J].中南林业科技大学学报.2017,37(7):18-29.
[10]郑聪急,贾黎明,段劫,等.华北地区栓皮栎天然次生林地位指数表的编制[J].林业科学,2013,49(2):79-85.
[11]孟宪宇.测树学[M].北京:中国林业出版社. 2006.
[12]段劼,马履一,贾黎明,等.北京低山地区油松人工林立地指数表的编制及应用[J].林业科学,2009,45(3):7-12.
[13]曾伟生,唐守正,黄国胜,等.全国立木生物量建模总体划分与样本构成研究[J].林业资源管理,2010(3):16-23.
[14]翁琳琳,蒋家淡,张鼎华,等.乡土树种枫香的研究现状与发展前景[J].福建林业科技,2007,34(2):184-189.
[15]国家林业局. LY/T2259-2014,立木生物量建模样本采集技术规程[S].北京:中国林业出版社,2014.
[16]周火明,贺勇,侯梅,等.红安县枫香天然次生林生长规律研究[J].湖北林业科技,2015,44(4):17-20.
[17]周火明,毛燕,向莉,等.鄂东北枫香混交林生长规律研究[J].华东森林经理,2017,31(1):37-40.