植物生态学报 ›› 2017, Vol. 41 ›› Issue (1): 115-125.DOI: 10.17521/cjpe.2016.0131

所属专题: 中国灌丛生态系统碳储量的研究

• 研究论文 • 上一篇    下一篇

山西芦芽山14种常见灌木生物量模型及生物量分配

罗永开1,2, 方精云1, 胡会峰1,*()   

  1. 1中国科学院植物研究所植被与环境变化国家重点实验室, 北京 100093
    2中国科学院大学, 北京 100049
  • 收稿日期:2016-04-11 接受日期:2016-07-23 出版日期:2017-01-10 发布日期:2017-01-23
  • 通讯作者: 胡会峰
  • 作者简介:* 通信作者Author for correspondence (E-mail:sunzhiqiang1956@sina.com)
  • 基金资助:
    中国科学院战略性先导科技专项(XDA05050302)和国家自然科学基金(31470498)

Biomass estimation models and allocation patterns of 14 shrub species in Mountain Luya, Shanxi, China

Yong-Kai LUO1,2, Jing-Yun FANG1, Hui-Feng HU1,*()   

  1. 1State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
    and
    2University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2016-04-11 Accepted:2016-07-23 Online:2017-01-10 Published:2017-01-23
  • Contact: Hui-Feng HU
  • About author:KANG Jing-yao(1991-), E-mail: kangjingyao_nj@163.com

摘要:

灌木生物量模型是估算灌木生物量的重要方法, 而灌木生物量在各器官间的分配是其适应周围环境的重要体现。基于对山西芦芽山地区14种常见灌木的各器官(根、茎和叶)、地上和总生物量, 以及基径、树高、冠幅的测定, 建立了各器官、地上及总生物量的最优估算模型, 探究了各器官生物量与总生物量(如叶质比、茎质比及根质比)及地上-地下生物量(根冠比)的关系。结果表明: (1)总体而言, 幂函数和线性函数对这些灌木生物量的估测效果较好。(2)生长低矮、分枝数多的灌木种采用冠幅面积估测生物量效果较好; 生长直立或分枝数少的灌木种采用总基径的平方与茎干高度乘积估测生物量效果较好; 其他介于两者之间的灌木种采用冠幅体积估测生物量效果较好。(3) 14种灌木的平均根冠比是0.61, 叶质比0.17, 茎质比0.48, 根质比0.35; 此外, 带刺灌木种除叶质比显著大于不带刺灌木种外, 茎质比、根质比和根冠比都显著小于不带刺灌木种。

关键词: 灌木, 生物量, 芦芽山, 叶质比, 根冠比

Abstract:

Aims Shrub species have evolved specific strategies to regulate biomass allocation among various organs or between above- and belowground biomass and shrub biomass model is an important approach to estimate biomass allocation among different shrub species. This study was designed to establish the optimal estimation models for each organ (leaf, stem, and root), aboveground and total biomass of 14 common shrub species in Mountain Luya, Shanxi Province, China. Furthermore, we explored biomass allocation characteristics of these shrub species by using the index of leaf biomass fraction (leaf to total biomass), stem biomass fraction (stem to total biomass), root biomass fraction (root to total biomass), and root to shoot mass ratio (R/S) (belowground to aboveground biomass).
Methods We used plant height, basal diameter, canopy diameter and their combination as variables to establish the optimal biomass estimation models for each shrub species. In addition, we used the ratios of leaf, stem, root to total biomass, and belowground to aboveground biomass to explore the difference of biomass allocation patterns of 14 shrub species.
Important findings Most of biomass estimation models could be well expressed by the exponential and linear functions. Biomass for shorter shrub species with more stems could be better estimated by canopy area; biomass for taller shrub species with less stems could be better estimated by the sum of the square of total base diameter multiply stem height; and biomass for the rest shrub species could be better estimated by canopy volume. The averaged value for these shrub species was 0.61, 0.17, 0.48, and 0.35 for R/S, leaf biomass fraction, stem biomass fraction, and root biomass fraction, respectively. Except for leaf biomass fraction, R/S, stem biomass fraction, and root biomass fraction for shrubs with thorn was significantly greater than that for shrubs without thorn.

Key words: shrub, biomass, Mountain Luya, leaf biomass fraction, root to shoot mass ratio