西双版纳紫茎泽兰生物量收获的样方选择与模型

草地植被生物量与碳储量是陆地碳固存的重要组成部分,加强草地植被生物量研究可以提高区域植被碳储量估算的精度。在综合考虑时间和劳力消耗的基础上,研究了在控制误差内测定紫茎泽兰(Eupato-rium adenophorum)生物量时应选择的最佳样方大小和数量,并通过最佳自变量拟合了估算紫茎泽兰生物量的预测方程。结果表明:1)紫茎泽兰生物量收获的最佳取样面积为2.00 m2,最佳样方选择数目为15个;2)回归方程所选取的3个自变量基径的平方与高度的积(D2H)、冠幅与高度的乘积(CH)和盖度与高度的乘积(PH)中,CH与生物量的相关性和以CH为自变量的线性回归方程的拟合度优于其他2个自变量。

Selection of quadrat for biomass harvesting and model of Eupatorium adenophorum in Xishuangbanna

 Biomass and carbon stock of grassland vegetation are important components of terrestrial carbon sequestration, to reinforce the research of biomass of grassland vegetation can increase the precision of estimating regional vegetation carbon stock. Based on time and labor consumed, this paper studied selection of optimum size and number of the sampled quadrats in estimating Eupatorium adenophorum biomass under the standard error of mean needed to control, furthermore, an optimum independent variable was chosen to simulate prediction equation of estimating biomass of E.adenophorum. And the results indicated that, 1) the suggested optimum size of E.adenophorum biomass sampling was 2.00 m2, and the suggested sampling number was 15; 2)During the three selected combination variables [D2H (the square of the plant’s basal diameter multiplied by the hight); CH (the width of the plant's crown multiplied by the hight);PH (the cover of the plant multiplied by the hight)] for establishing biomass estimation models, CH was better than the other two variables for its correlation with biomass and simulation of linear regression equation.