Developing Stand-level Models of Stock Volume,Total Biomass and Carbon Storage for Larch Plantations in Heilongjiang Province

doi:10.13466/j.cnki.lyzygl.2017.05.013

Abstract

Abstract:

The stand-level tables and models are indispensable tools for implementing forest management inventory.Using the mensuration data of 53 larch(Larix spp.)plantation plots of national forest inventory in Heilongjiang province,and combining with the published ministerial standard Tree Biomass Models and Related Parameters to Carbon Accounting for Larix,stand-level models of stock volume,total biomass and carbon storage based on basal area and mean height were developed in this paper.The results showed that determination coefficients(R ²)of the developed models were more than 0.91 and mean prediction errors(MPE)were less than 5%,which could meet the precision requirement for forest management inventory.The presented approach is suitable for developing stand-level models of stock volume,total biomass and carbon storage for other tree species in any regions.

Key words: stock volume, total biomass, carbon storage, stand-level model, Larix

CLC Number:

S791.22

LI Yi. Developing Stand-level Models of Stock Volume,Total Biomass and Carbon Storage for Larch Plantations in Heilongjiang Province[J]. FOREST RESOURCES WANAGEMENT, 2017, (5): 74-77.

Figures/Tables 6

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References 14

[1]	白卫国, 王祝雄. 论我国林业数表体系建设[J].林业资源管理, 2009(1):1-7.
[2]	曾伟生. 全国林业数表体系框架初探[J]. 中南林业调查规划, 2009,28(4):1-4.
[3]	LY 208-77, 立木材积表[S].北京: 中国标准出版社, 1977.
[4]	LY/T 2654-2016, 立木生物量模型和碳计量参数—落叶松[S].北京:中国标准出版社, 2017.
[5]	龚道怀. 闽东北鹫峰山针叶林蓄积量模型的研究[J]. 湖南林业科技, 2009,36(4):13-15.
[6]	闵志强, 孙玉军. 长白落叶松林生物量的模拟估测[J]. 应用生态学报, 2010,21(6):1359-1366.
[7]	GB/T 26424-2010, 森林资源规划设计调查技术规程[S].北京:中国标准出版社, 2010.
[8]	中华人民共和国林业部. 林业专业调查主要技术规定[M]. 北京: 中国林业出版社, 1990.
[9]	余松柏, 叶金盛, 王登峰, 等. 编制林分形高表估测林分蓄积量方法的研究[J]. 中南林业调查规划, 2005,24(3):5-9.
[10]	张丽华, 张怍恬, 李杰. 内蒙古大兴安岭林区主要树种形高表的编制及其对调查精度影响的分析[J]. 内蒙古林业调查设计, 2005,28(1):30-32.
[11]	骆期邦. 采用立木材积表计算林分蓄积量的一个必须纠正的错误方法[J]. 中南林业调查规划, 1992,11(4):7-8.
[12]	曾伟生, 骆期邦, 贺东北. 论加权回归与建模[J]. 林业科学, 1999,35(5):5-11.
[13]	曾伟生. 加权回归估计中不同权函数的对比分析[J].林业资源管理, 2013(5):55-61.
[14]	曾伟生, 唐守正. 立木生物量模型的优度评价和精度分析[J]. 林业科学, 2011,47(11):106-113. doi: 10.11707/j.1001-7488.20111117

指标	平均年龄 /a	平均胸径 /cm	平均树高 /m	公顷株数 /(株/hm²)	公顷断面积 /(m²/hm²)	公顷蓄积量 /(m³/hm²)
平均值	24	11.7	11.6	1092	11.65	62.52
最小值	14	6.8	5.2	517	1.96	8.37
最大值	35	18.9	17.2	2767	27.22	148.73
标准差	6	2.8	2.9	494	5.67	33.29

变量	模型		参数估计值							模型评价指标
变量	模型		a		b		c			R²	SEE		TRE/%		ASE/%		MPE/%		MPSE/%
蓄积量	(3)	5.23						0.917	9.57			2.63		0.00		4.23		11.47
蓄积量	(4)			3.60		0.1400		0.931	8.74			0.69		0.03		3.86		9.60
生物量	(3)	4.05						0.925	6.93			2.31		0.00		3.97		10.56
生物量	(4)			2.92		0.0967		0.936	6.41			0.57		0.03		3.67		9.04
碳储量	(3)	1.98						0.925	3.39			2.31		0.00		3.97		10.56
碳储量	(4)			1.43		0.0473		0.936	3.14			0.52		-0.03		3.67		9.05

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