Allometric models to estimate biomass organic carbon stock in forest vegetation  

异速模型评估森林植被生物量有机碳储量(英文)

作　　者：Mohammed Alamgir M.Al-Amin 

机构地区：[1]Department of Forestry and Environmental Science, School of Agriculture and Mineral Sciences, Shahjalal University of Science and Technology, Sylhet-3114, Bangladesh [2]Institute of Forestry and Environmental Sciences, University of Chittagong, Chittagong- 4331, Bangladesh

出　　处：《Journal of Forestry Research》2008年第2期101-106,共6页林业研究（英文版）

摘　　要：A study was conducted in the forest area of Chittagong （South） Forest Division, Chittagong, Bangladesh for developing al- lometric models to estimate biomass organic carbon stock in the forest vegetation. Allometric models were tested separately for trees （divided into two DBH classes）, shrubs, herbs and grasses. Model using basal area alone was found to be the best predictor of biomass organic carbon stock in trees because of high coefficient of determination （r^2 is 0.73697 and 0.87703 for 〉 5 cm to ≤ 15 cm and 〉 15 cm DBH （diameter at breast height） rang, respectively） and significance of regression （P is 0.000 for each DBH range） coefficients for both DBH range. The other models using height alone; DBH alone; height and DBH together; height, DBH and wood density; with liner and logarithmic relations produced relatively poor coefficient of determination. The allometric models for dominant 20 tree species were also developed separately and equation using basal area produced higher value of determination of coefficient. Allometric model using total biomass alone for shrubs, herbs and grasses produced higher value of determination of coefficient and significance of regression coefficient （r^2 is 0.87948 and 0.87325 for shrubs, herbs and grasses, respectively and P is 0.000 for each）. The estimation of biomass organic carbon is a complicated and time consuming research. The allometric models developed in the present study can be utilized for future estimation of organic carbon stock in forest vegetation in Bangladesh as well as other tropical countries of the world.在孟加拉的吉大港南部森林地区,利用异速模型评估森林植被的有机碳的储量。异速模型被分别应用测试树木(被划分两个胸高直径级)、灌木和草本植物。采用基部面积估算胸高直径级为从>5cm到≤15cm和>15cm树木的生物量有机碳储量模型最好,分别有很高的决定系数(胸高直径级>5cm到≤15cm的r2为0.73697,胸高直径级>15cm的r2为0.87703),且回归系数(P=0.000)显著。其它模型(包括采用树高,胸高直径,树高和胸高直径,以及综合树高、胸高直径和木材密度)的线性和对数关系都表现出很低的决定系数。分别建立了20种优势树种的异速模型,采用树木基部面积的模型都得到很高的决定系数值。单独采用灌木和草本植物总生物量的异速模型有较高的决定系数(灌木的r2为0.87948,草本植物的r2为0.87325),且回归(系数)性显著(P=0.000)。生物量有机碳的评估是复杂的和耗时的研究,本研究所建立的异速模型可以应用于孟加拉和其它热带(地区)国家的森林植被的有机碳储量的测算。

关 键 词：allometric models organic carbon stock tree HERBS SHRUBS grasses 

分 类 号：S718.5[农业科学—林学]