摘要
为了准确评估喀斯特森林生物量,以青冈栎黄樟群落中黄樟为研究对象,采用回归估测法,从含水率、生物量时空异质性、生物量模XXX型拟合3个方面进行生物量研究。结果表明:黄樟树叶和干材的含水率明显大于林木其他各组分,各组分含水率的大小为树叶>干材>树枝>树皮;各组分生物量在空间上分配表现为干材>树枝>树叶>树皮,且各个组分随着年龄和胸径的增加呈上升趋势。通过对解析木生物量的回归分析,得出黄樟各组分生物量的最优回归模型。
The biomass of Cirnamomum parthenoxylon,a dominant species in karst forest,was studied by the regression estimation method from three aspects of moisture content,biomass spatial-temporal heterogeneity and biomass model fitting to evaluate the biomass of karst forest.The results showed that:(i) The moistu content in leaves and dry wood of Cinnamomum panhemolon was obviously higher than that in its other different components,and the moisture content of different components is leaf > dry wood > branch > bark ; (ii) The biomass spatial distribution of different components was dry wood > branch > leaf > bark and presents a rising trend with increase of age and DBH (diameter at breast height).The optimum regression models for biomass of different components of Cinnamorum parthenoxylon were built based on regression analysis of wood biornass.
出处
《西南农业学报》
CSCD
北大核心
2014年第5期2156-2161,共6页
Southwest China Journal of 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
喀斯特
黄樟
含水率
生物量
回归模型
Karst
Cinnamomum parthenoxylon
Moisture content
Biomass
Regression model