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林业资源管理 ›› 2014›› Issue (1): 71-76.doi: 10.13466/j.cnki.lyzygl.2014.01.015

• 科学研究 • 上一篇    下一篇

晋北4种灌木地上生物量预测模型的构建

李刚, 赵祥, 刘碧荣   

  1. 山西农业大学 动物科技学院,山西 太谷 030801
  • 收稿日期:2013-11-11 修回日期:2013-12-23 出版日期:2014-02-28 发布日期:2020-12-09
  • 通讯作者: 赵祥。Email:sxndzhaox@126.com
  • 作者简介:李刚(1988-),男,山西偏关人,在读硕士,从事草地生态研究。Email:shxligang@126.com
  • 基金资助:
    中国科学院战略性先导科技专项(XDA05050403);公益性行业(农业)科技专项(201403050);山西农业大学引进人才科研启动项目(XB2008018)

The Construction of Predicting Model of Aboveground Biomass of Four Types of Shrubs in Northern Shanxi Province

LI Gang, ZHAO Xiang, LIU Birong   

  1. 1. College of Animal Science and veterinary medicine,Shanxi Agricultural University,Taigu,Shanxi 030801,China
  • Received:2013-11-11 Revised:2013-12-23 Online:2014-02-28 Published:2020-12-09

摘要: 采用收获法对晋北地区4种常见灌木(黄刺玫、酸枣、荆条和柠条)进行随机采样,分析其生物量及分配格局,同时利用简单指标对其生物量构建预测模型。研究结果表明:1)灌木地上总生物量间差异较大,从大到小依次为荆条>黄刺玫>柠条>酸枣;黄刺玫和荆条地上不同部位生物量表现为叶>老龄枝>新生枝,而柠条和酸枣则表现为老龄枝>叶>新生枝;2)不同灌木枝叶比差异很大,柠条枝叶比是黄刺玫的2.79倍,而荆条和黄刺玫的枝叶比近似于1;3)依据不同灌木及同种灌木不同器官选择冠幅直径乘以高CH、冠幅直径C、冠幅体积V为自变量构建的4种灌木生物量模型均以幂函数模型最优,可用于推算灌木生物量。

关键词: 灌木, 生物量, 分布格局, 预测模型

Abstract: By using harvesting method,four kinds of shrubs were randomly sampled in northern Shanxi Province.We analyzed aboveground biomass and distribution biomass,and simultaneously constructed predicting model by simple indicators.The conclusions were as follows:Firstly,aboveground biomass differences were larger in various shrubs,and were respectively Vitex negundo var.heterophylla,Rosa xanthina Lindl,Caragana korshinskii Kom.and Ziziphus jujuba var.spinosa(Bunge)Hu in descending order.Rosa xanthina Lindl and Vitex negundo var.heterophylla biomasses from different organization were respectively leaf,older branch and new branch in descending order,while Caragana korshinskii Kom.and Ziziphus jujuba var.spinosa(Bunge)Hu were older brach,leaf and new brach.Secondly,the ratio between branch and leaf was different in different shrubs.Caragana korshinskii Kom.was 2.79 times that of Rosa xanthina Lindl,and the ratio was approximately 1 between Vitex negundo var.heterophylla and Rosa xanthina Lindl.Thirdly,according to different shrubs and different organs from same shrubs to select CH,C and V as independent variable,we constructed aboveground biomass predicting model about 4 types of shrubs,we found the best model was power function.It can be used to calculate the shrub biomass.

Key words: shrub, biomass, distribution pattern, predicting model

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