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中国沙漠 ›› 2012, Vol. 32 ›› Issue (1): 73-76.

• 生物与土壤 • 上一篇    下一篇

克隆植物准噶尔无叶豆的种群生物量结构及回归模型

王建成1,2, 施 翔1,2, 张道远1,3*, 尹林克1,3   

  1. 1.中国科学院新疆生态与地理研究所 干旱区生物地理与生物资源重点研究室, 新疆 乌鲁木齐 830011;
    2.中国科学院研究生院, 北京 100049;
    3.中国科学院新疆生态与地理研究所 吐鲁番沙漠植物园, 新疆 吐鲁番 838008
  • 收稿日期:2011-04-02 修回日期:2011-07-05 出版日期:2012-01-20 发布日期:2012-01-20

Biomass Allocation and Biomass Estimation Models of the Clonal Plant Population of Eremosparton songoricum

WANG Jian-cheng1,2, SHI Xiang1,2, ZHANG Dao-yuan1,3, YIN Lin-ke1,3   

  1. 1.Key Laboratory of Biogeography and Bioresource in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;
    2.Graduate University of Chinese Academy of Sciences, Beijing 100049 , China;
    3.Turpan Eremophytes Botanical Garden, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Turpan 838008, Xinjiang, China
  • Received:2011-04-02 Revised:2011-07-05 Online:2012-01-20 Published:2012-01-20

摘要: 根据根茎型克隆植物的特征,建立准噶尔无叶豆各构件单元生物量的模型。结果表明,准噶尔无叶豆的根茎生物量、根生物量、枝生物量和果实生物量分别是6.33、39.72、27.93 g·m-2和3.47 g·m-2。地上生物量所占比例为40.55%,小于地下生物量所占的比例59.45%。植株本身的高(H)、高与冠幅(C)的乘积(CH)与各部分生物量间的相关性很高;但C与各部分生物量间的相关性相对较低。在分析H、CH与各生物量相互关系的各种数学模型中,大多数模型有显著的相关性,选择其中相关显著性和R2值最高的模型,建立它们之间的相互关系模型。使用植株的CH所建立起来的线性数学模型对生物量的预测较好,为估算荒漠克隆灌木植物的生物量,提供个例物种的示范。

关键词: 生物量分配, 克隆植物, 准噶尔无叶豆, 回归模型

Abstract: We established biomass estimation model of each module unit in Eremosparton songoricum based on characteristics of the rhizomatous clonal plants. Results showed that the rhizome biomass, root biomass, branch biomass and fruit biomass of the clonal plants was 6.33, 39.72, 27.93 g·m-2 and 3.47 g·m-2, respectively. The above-ground biomass accounted for 40.55% of the entire individual, which was much less than that in underground (59.45%). Compared with the crown width(C), the individual height (H) and the product of C,H were better choice to estimate the biomass of each module unit. Most of the regression models had significant correlation and a linear model had the highest value of R2. The model based on CH was the optimal one to predict biomass, which would be a demonstration for budget estimation of carbon storage in the clonal shrub species.

Key words: biomass allocation, clonal plant, Eremosparton songoricum, regression model

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