摘要
[目的]研究丝栗栲单木级生物量模型及估算参数。[方法]以闽北典型的阔叶树种——丝栗栲为研究对象,基于20株标准木的测量数据建立丝栗栲的单木级生物量模型和生物量估算参数。[结果]①筛选出总量及各部分生物量模型分别是B=0.095D2.561(整株)、B=0.026(D2H)0.986(树干)、B=0.004D2.916(树枝)、B=0.002D3.074(树叶)、B=0.085D2.536(地上)和B=0.010D2.718(地下)。②生物量换算系数的平均值为0.853 mg/m3(n=20,SD=0.167);生物量扩展系数的平均值为1.403(n=20,SD=0.260);根茎比的平均值为0.189(n=20,SD=0.046)。[结论]该研究为亚热带常绿阔叶林的森林生物量准确估算提供了必要的数据支撑。
[ Objective] Individual-level biomass models and biomass factors for Castanopsis fargesii forest were studied. [ Method] Castanopsis fargesii is an important dominant tree species in subtropical evergreen broadleaved forests. Using biomass measurements of 20 individual trees, biomass allometric equations and biomass estimation factors were analyzed. [ Result ] (1) The optimal equations were B = 0. 095D2.561 for whole tree, B = 0. 026 (D2H)0.986 for stem, B = 0. 004D2.916for branch, B = 0. 002D3.074 for leaf, B = 0. 085D2.536 for aboveground tree, and B = 0. 010 , D2.718 for roots; (2) the means of biomass conversion and expansion factors, biomass expansion factors and root:shoot ratios were 0.853 mg/m3 ( n = 20, SD = 0. 167 ), 1. 403 ( n = 20, SD = 0.260) and 0.189 ( n = 20, SD = 0. 046 ), respectively. The research provides the nec- essary data to estimate accurately the forest biomass of subtropical evergreen broad-leaved.
出处
《安徽农业科学》
CAS
2014年第20期6761-6761,6790,共2页
Journal of Anhui Agricultural Sciences
基金
林业公益性行业科研专项(201204604
201304205)
关键词
生物量模型
生物量估算参数
丝栗栲
闽北
Biomass model
Biomass estimation factors
Castanopsisfargesii
Northern Fujian