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雷山常绿阔叶林甜槠栲的单木生物量估测 被引量:3

Estimation on Single-tree Biomass of Evergreen Broad-leaved Forest with Castanopsis eyrei in Leishan
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摘要 为雷山自然保护区森林生物量的科学计测提供依据,以雷山常绿阔叶林优势树种甜槠栲为研究对象,采用生物量模型估测法,利用统计学软件SPSS拟合甜槠栲各组分的生物量。结果表明:甜槠栲干材、树枝、树皮和树叶各组分在单株地上生物量中所占的比重分别为51%、23%、11%和13%,各组分所占比例依次为干材>树枝>树叶>树皮;经拟合优度综合分析,幂回归模型对甜槠栲单木生物量的拟合效果最好,最优模型分别为LnW树干=4.834 4+0.859 1LnD2 H,LnW树干=2.324 4+0.682 1LnD2 H,LnW干材=4.758 8+0.889 3LnD2 H,LnW树叶=2.658 1+0.731 5LnD2 H,LnW树枝=3.014 7+0.659 7LnD2 H。 In order to provide the basis for research and scientific measuring forest biomass in Leishan Nature Reserve,the authors took C.eyrei of evergreen broad-leaved forest in Leishan as an example,and used biomass model estimation method and SPSS statistical software to fit each component with C.eyrei biomass models.The results showed that the proportion of bolt,branch,bark and leaf of C.eyrei in the aboveground biomass per plant was 51%,23%,11% and 13% respectively.Each organ size distribution relationship between biomass was bolt〉branch 〉 leaf 〉 bark.Through comprehensive analysis of the goodness of fit,power regression model for C.eyrei single-tree biomass had the best fitting effect.The optimal regression model:LnW trunk = 4.834 4 + 0.859 1 LnD 2 H ;LnW bark = 2.324 4 + 0.682 1 LnD 2 H ;LnWbolt=4.758 8+0.889 3 LnD2 H;LnW leaf=2.658 1+0.731 5 LnD2 H;LnWbranch=3.014 7+0.659 7 LnD2 H.
出处 《贵州农业科学》 CAS 2015年第4期163-167,172,共6页 Guizhou Agricultural Sciences
基金 贵州省社发攻关项目"贵州主要大中型叶树种固碳及其效益评价"[黔科合SY字(2011)3108]
关键词 常绿阔叶林 甜槠栲 单木生物量 生物量模型 雷山自然保护区 贵州 evergreen broad-leaved forest Castanopsis eyrei single-tree biomass biomass model Leishan nature reserve Guizhou
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