Compatible Biomass Models for Larix kaempferi in Mountainous Area of Eastern Liaoning

HUANG Xing-zhao; SUN Xiao-mei; ZHANG Shou-gong; CHEN Dong-sheng

Volume 27 Issue 2

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Compatible Biomass Models for Larix kaempferi in Mountainous Area of Eastern Liaoning

1.
Research Institute of Forestry, Chinese Academy of Forestry, Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing 100091, China

Received Date: 2013-03-27

Abstract

Based on the biomass data of 60 sampling trees of Larix kaempferi in mountainous area of eastern Liaoning Province, the biomass of each component with different ages was analyzed. The compatible models for the biomass of whole tree and each component were established using non-linear error-in-variable modeling method. The results showed that the biomass ratio of needle, branch and bark dropped with stand age growth, but that of stem rose up with stand age growth. Based on the optimal model, the compatible models for whole tree, biomass and each component were established by three-step control programs, and the heteroscedasticity of the models for whole tree and components was eliminated with weighted regression. The determination coefficients of whole tree, above-ground, trunk, stem and bark biomass were higher than 0.9. The determination coefficients of root, crown, foliage and branch ranged from 0.7 to 0.9. From the model tested by independent samples, the sum of each component ratio was 1 and the model was totally compatible. The prediction precisions of root, crown, needle and branch were less than 90%, but the others were higher than 95%.
- Larix kaempferi,
- biomass,
- error-in-variable model,
- compatibility

References

[1]	Tomppo E, Gschwantner T, Lawrence M, et al. National forest inventories: pathways for common reporting [M].New York,USA: Springer, 2010:21-23
[2]	Bi H, Birk E, Turner J, Lambert M J, et al. Converting stem volum to biomass with additivity, bias corrections and confidence bands for two Australian tree species[J]. New Zealand Journal of Forest Research,2001,31(3):298-319
[3]	FAO. Global Forest Resources Assessment 2005: Progress Towards Sustainable Forest Management. FAO Forestry Paper. Food and AgricultureOrganization of theUnited Nations, Rome, 2006:12-13
[4]	骆期邦,曾伟生,贺东北,等.立木地上生物量模型的建立及其应用研究[J].自然资源学报,1999,14(3):271-277
[5]	唐守正,张会儒,胥辉.相容性生物量模型的建立及其估计方法研究[J].林业科学, 2000, 36(专刊1): 19-27
[6]	胥辉,刘伟平.兼容性生物量模型的研究[J].福建林学院学报,2001,21(1):18-23
[7]	Parresol B R. Additivity of nonlinear biomass equations[J]. Canadian Journal of Forest Research, 2001,31:865-878
[8]	Bi H, Turner J, Lambert M J. Additive biomass equations for native eucalypt forest trees of temperate Australia[J]. Trees, 2004, 18:467-479
[9]	付尧,马炜,王新杰,等.小兴安岭长白落叶松相容性生物量模型的建立[J]. 东北林业大学学报,2011,39(7):42-45
[10]	董利虎,李凤日,贾炜炜,等.含度量误差的黑龙江省主要树种生物量相容性模型应用[J].生态学报,2011,22 (10):2653－2661
[11]	曾伟生,张会儒,唐守正.立木生物量建模方法[M].北京:中国林业出版社,2011:10-12
[12]	王宏全,孙晓梅,张灿明,等.北亚热带高山区日本落叶松林相容性生物量模型研究[J].东北农业大学学报,2011,42(2):131-138
[13]	董文宇.辽宁省日本落叶松林分生长收获模型的研究和生长过程表编制的研究[D]. 沈阳:沈阳农业大学,2006:32-34
[14]	Tang S Z, LiY, Wang Y H. Simultaneous equations, error-in-varia-blemodels, andmodel integration in systems ecology[J]. Ecological Modelling, 2001, 142(3): 285-294
[15]	Tang S Z, Wang Y H. A parameter estimation program for the error-in-variablemodel[J]. Ecological Modelling, 2002, 156(2): 225-236
[16]	唐守正,李勇.生物数学模型的统计学基础[M].北京:科学出版社, 2002:6-12
[17]	唐守正,郎奎建,李海奎.统计和生物数学模型计算(ForStat教程)[M].北京:科学出版社,2008:12-14
[18]	李永慈,唐守正.带度量误差的全林整体模型参数估计研究[J].北京林业大学学报,2006,28(1): 23-27
[19]	胥辉.生物量模型方差非齐性研究[J]. 西北林学院学报,1999, 19(2):73-77
[20]	张会儒,唐守正,胥辉.关于生物量模型中的异方差问题[J].林业资源管理,1999(1): 46-49
[21]	曾伟生,骆期邦,贺东北.论加权回归与建模[J].林业科学,1999a, 35(5): 5-11
[22]	Parresol B R. Assessing tree and stand biomass: A review with examples and critical comparisons[J].Forest Science, 1999, 45(4):573-593
[23]	Parresol B R. Additivity of nonlinear biomass equations[J]. Can J For Res,2001,31: 865-878
[24]	王宏全.基于标准地和遥感数据的北亚热带高山区日本落叶松林生物量研究.北京:中国林业科学研究院,2010:36-39
[25]	沈亚洲,孙晓梅,张江涛,等.甘肃小陇山林区日本落叶松人工林单木生物量研究[J].林业科学研究,2011,24(4): 517-522

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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

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Compatible Biomass Models for Larix kaempferi in Mountainous Area of Eastern Liaoning

1. Research Institute of Forestry, Chinese Academy of Forestry, Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing 100091, China

Received Date: 2013-03-27

Abstract: Based on the biomass data of 60 sampling trees of Larix kaempferi in mountainous area of eastern Liaoning Province, the biomass of each component with different ages was analyzed. The compatible models for the biomass of whole tree and each component were established using non-linear error-in-variable modeling method. The results showed that the biomass ratio of needle, branch and bark dropped with stand age growth, but that of stem rose up with stand age growth. Based on the optimal model, the compatible models for whole tree, biomass and each component were established by three-step control programs, and the heteroscedasticity of the models for whole tree and components was eliminated with weighted regression. The determination coefficients of whole tree, above-ground, trunk, stem and bark biomass were higher than 0.9. The determination coefficients of root, crown, foliage and branch ranged from 0.7 to 0.9. From the model tested by independent samples, the sum of each component ratio was 1 and the model was totally compatible. The prediction precisions of root, crown, needle and branch were less than 90%, but the others were higher than 95%.

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Reference (25)

[1]	Tomppo E, Gschwantner T, Lawrence M, et al. National forest inventories: pathways for common reporting [M].New York,USA: Springer, 2010:21-23
[2]	Bi H, Birk E, Turner J, Lambert M J, et al. Converting stem volum to biomass with additivity, bias corrections and confidence bands for two Australian tree species[J]. New Zealand Journal of Forest Research,2001,31(3):298-319
[3]	FAO. Global Forest Resources Assessment 2005: Progress Towards Sustainable Forest Management. FAO Forestry Paper. Food and AgricultureOrganization of theUnited Nations, Rome, 2006:12-13
[4]	骆期邦,曾伟生,贺东北,等.立木地上生物量模型的建立及其应用研究[J].自然资源学报,1999,14(3):271-277
[5]	唐守正,张会儒,胥辉.相容性生物量模型的建立及其估计方法研究[J].林业科学, 2000, 36(专刊1): 19-27
[6]	胥辉,刘伟平.兼容性生物量模型的研究[J].福建林学院学报,2001,21(1):18-23
[7]	Parresol B R. Additivity of nonlinear biomass equations[J]. Canadian Journal of Forest Research, 2001,31:865-878
[8]	Bi H, Turner J, Lambert M J. Additive biomass equations for native eucalypt forest trees of temperate Australia[J]. Trees, 2004, 18:467-479
[9]	付尧,马炜,王新杰,等.小兴安岭长白落叶松相容性生物量模型的建立[J]. 东北林业大学学报,2011,39(7):42-45
[10]	董利虎,李凤日,贾炜炜,等.含度量误差的黑龙江省主要树种生物量相容性模型应用[J].生态学报,2011,22 (10):2653－2661
[11]	曾伟生,张会儒,唐守正.立木生物量建模方法[M].北京:中国林业出版社,2011:10-12
[12]	王宏全,孙晓梅,张灿明,等.北亚热带高山区日本落叶松林相容性生物量模型研究[J].东北农业大学学报,2011,42(2):131-138
[13]	董文宇.辽宁省日本落叶松林分生长收获模型的研究和生长过程表编制的研究[D]. 沈阳:沈阳农业大学,2006:32-34
[14]	Tang S Z, LiY, Wang Y H. Simultaneous equations, error-in-varia-blemodels, andmodel integration in systems ecology[J]. Ecological Modelling, 2001, 142(3): 285-294
[15]	Tang S Z, Wang Y H. A parameter estimation program for the error-in-variablemodel[J]. Ecological Modelling, 2002, 156(2): 225-236
[16]	唐守正,李勇.生物数学模型的统计学基础[M].北京:科学出版社, 2002:6-12
[17]	唐守正,郎奎建,李海奎.统计和生物数学模型计算(ForStat教程)[M].北京:科学出版社,2008:12-14
[18]	李永慈,唐守正.带度量误差的全林整体模型参数估计研究[J].北京林业大学学报,2006,28(1): 23-27
[19]	胥辉.生物量模型方差非齐性研究[J]. 西北林学院学报,1999, 19(2):73-77
[20]	张会儒,唐守正,胥辉.关于生物量模型中的异方差问题[J].林业资源管理,1999(1): 46-49
[21]	曾伟生,骆期邦,贺东北.论加权回归与建模[J].林业科学,1999a, 35(5): 5-11
[22]	Parresol B R. Assessing tree and stand biomass: A review with examples and critical comparisons[J].Forest Science, 1999, 45(4):573-593
[23]	Parresol B R. Additivity of nonlinear biomass equations[J]. Can J For Res,2001,31: 865-878
[24]	王宏全.基于标准地和遥感数据的北亚热带高山区日本落叶松林生物量研究.北京:中国林业科学研究院,2010:36-39
[25]	沈亚洲,孙晓梅,张江涛,等.甘肃小陇山林区日本落叶松人工林单木生物量研究[J].林业科学研究,2011,24(4): 517-522

Compatible Biomass Models for Larix kaempferi in Mountainous Area of Eastern Liaoning

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通讯作者: 陈斌, bchen63@163.com

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Compatible Biomass Models for Larix kaempferi in Mountainous Area of Eastern Liaoning

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