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西双版纳紫茎泽兰生物量收获的样方选择与模型
引用本文:张修玉,许振成,宋巍巍,管东生,赵晓光,胡习邦,张钢锋. 西双版纳紫茎泽兰生物量收获的样方选择与模型[J]. 草业科学, 2010, 27(10): 85-90. DOI: 10.3969/j.issn.1001-0629.2010.10.016
作者姓名:张修玉  许振成  宋巍巍  管东生  赵晓光  胡习邦  张钢锋
作者单位:环境保护部华南环境科学研究所,广东,广州,510655;中国科学院广州地球化学研究所,广东,广州,510640;环境保护部华南环境科学研究所,广东,广州,510655;中山大学环境科学与工程学院,广东,广州,510275
基金项目:环境保护部华南环境科学研究所热带亚热带退化生态研究项目(zx_200912_04); 国家科技重大专项(2008ZX07211); 国家发改委项目(ZBKT043)
摘    要: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。

关 键 词:西双版纳  紫茎泽兰  生物量  样方  模型

Selection of quadrat for biomass harvesting and model of Eupatorium adenophorum in Xishuangbanna
ZHANG Xiu-yu,XU Zhen-cheng,SONG Wei-wei,GUAN Dong-sheng,ZHAO Xiao-guang,HU Xi-bang,ZHANG Gang-feng. Selection of quadrat for biomass harvesting and model of Eupatorium adenophorum in Xishuangbanna[J]. Pratacultural Science, 2010, 27(10): 85-90. DOI: 10.3969/j.issn.1001-0629.2010.10.016
Authors:ZHANG Xiu-yu  XU Zhen-cheng  SONG Wei-wei  GUAN Dong-sheng  ZHAO Xiao-guang  HU Xi-bang  ZHANG Gang-feng
Affiliation:ZHANG Xiu-yu1,2,XU Zhen-cheng1,SONG Wei-wei1,GUAN Dong-sheng3,ZHAO Xiao-guang1,HU Xi-bang1,ZHANG Gang-feng1(1.Ministry of Environmental Protection,South China Institute of Environmental Sciences,Guangdong Guangzhou 510655,China,2.Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,Guangdong Guangzhou 510640,3.College of Environmental Science , Engineering,Sun Yat-sen University,Guangdong Guangzhou 510275,China)
Abstract: 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.
Keywords:   Xishuangbanna  Eupatorium adenophorum  biomass  quadrat  model
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