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克隆植物准噶尔无叶豆的种群生物量结构及回归模型
引用本文:王建成,施翔,张道远,尹林克.克隆植物准噶尔无叶豆的种群生物量结构及回归模型[J].中国沙漠,2012,32(1):73-76.
作者姓名:王建成  施翔  张道远  尹林克
作者单位: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/中国科学院研究生院,北京100049
2. 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/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
基金项目:新疆维吾尔自治区科技支撑计划项目(200933122);中国科学院重要方向项目群项目(KSCX2-YW-Z-1020)资助
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
收稿时间:2011-04-02;

Biomass Allocation and Biomass Estimation Models of the Clonal Plant Population of Eremosparton songoricum
WANG Jian-cheng,SHI Xiang,ZHANG Dao-yuan,YIN Lin-ke.Biomass Allocation and Biomass Estimation Models of the Clonal Plant Population of Eremosparton songoricum[J].Journal of Desert Research,2012,32(1):73-76.
Authors:WANG Jian-cheng  SHI Xiang  ZHANG Dao-yuan  YIN Lin-ke
Institution:1,3(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)
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.
Keywords:biomass allocation  clonal plant  Eremosparton songoricum  regression model
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