南京林业大学学报(自然科学版) ›› 2011, Vol. 35 ›› Issue (05): 45-50.doi: 10.3969/j.jssn.1000-2006.2011.05.010

• 研究论文 • 上一篇    下一篇

长白山区林下主要灌木生物量估算与分析

何列艳1,亢新刚1*,范小莉1,高延2,冯启祥2   

  1. 1.北京林业大学省部共建森林培育与保护教育部重点实验室,北京100003; 2.吉林省汪清林业局,吉林汪清133200
  • 出版日期:2011-09-30 发布日期:2011-09-30
  • 基金资助:
    收稿日期:2010-11-09修回日期:2011-05-09基金项目:国家林业局林业公益性行业科研专项项目(200804027)作者简介:何列艳(1985—),硕士生。*亢新刚(通信作者),教授。 Email :xingangk@163. com。

Estimation and analysis of understory shrub biomass in Changbai Mountains

HE Lieyan1, KANG Xingang1*, FAN Xiaoli1, GAO Yan*   

  1. 1.Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China;2.Wangqing Forestry Bureau, Jilin Province, Wangqing 133200,China
  • Online:2011-09-30 Published:2011-09-30

摘要: 以长白山金沟岭林场天然云冷杉林、杨桦次生林、人工落叶松林3种森林类型为研究对象,构建了林下灌木层分布较广泛的10个物种以植冠面积(Ac)、植冠体积(Vc)、地径平方与株高乘积(D2H)为自变量的器官生物量模型,并按照灌木形态的不同分别乔木型灌木(主干明显)、典型灌木(分枝多,主干不明显)构建混合物种模型,选出R2较大、SEE较小的模型作为最优模型,研究了不同森林类型林下灌木层生物量及其在不同物种和器官中的分配。结果表明:单一物种器官生物量最优模型多为线性、二次或者三次方程,干、枝最优模型采用的自变量多为D2H或者Vc,叶生物量最优模型采用的自变量多为Ac或者Vc,根的多为D2H。混合物种模型的最优方程为幂函数或三次方程,最优模型的自变量除典型灌木枝模型为Vc外,其他各器官模型自变量都为D2H。计算得到的天然云冷杉林、杨桦次生林、人工落叶松林林下灌木层生物量分别为4 01359、3 95066和4 64936 kg/hm2,且乔木型灌木对生物量的贡献率大于典型灌木。

Abstract: With 10 common species of understory shrub in three natural forest types,including SpruceFir Mixed forests, PolarBirch secondary forests and Larch plantation in Jinggouling Plantation Changbai Mountains as test objects, crown area(Ac),project volume(Vc), square ground diameter by height(D2H) were used as variables in component biomass models. According to the growth forms, treelike(single trunked) mixed models and shrublike(multistemmed or low branching) mixed models were built. The shrub biomass along with its distribution in different species and components were investigated using the bestfit models which were judged by high R2 and low SEE. The results showed that the bestfit speciesspecific component model forms were linear, quadratic or cubic equations, the variables in stem and branch models were D2H or Vc, and in leaf models were Ac or Vc ,while in root models were D2H. The bestfit mixed model forms were power or cubic equation, the variables in these models were D2H while the branch of mixed model of shurblike plants was Vc .The biomass of understory shrub in natural SpruceFir Mixed forests, PolarBirch secondary forests and Larch plantation was 4 013.59,3 950.66 and 4 649.36 kg/hm2 respectively, and treelike plants make more biomass contribution than shrublike plants.

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