干旱区研究 ›› 2019, Vol. 36 ›› Issue (5): 1219-1228.doi: 10.13866/j.azr.2019.05.20

• 生物资源 • 上一篇    下一篇

内蒙古26种常见温带灌木的生物量模型

赵梦颖1,2, 孙威3, 罗永开1,2, 梁存柱3, 李智勇3, 沈海花1, 牛霞霞3, 郑成洋4, 胡会峰1, 马文红3   

  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;
    3.内蒙古大学生态与环境学院, 内蒙古 呼和浩特 010021;
    4.北京大学城市与环境学院, 北京 100871
  • 收稿日期:2018-11-27 修回日期:2019-03-07 发布日期:2025-10-14
  • 通讯作者: 马文红. E-mail: whmapku@126.com
  • 作者简介:赵梦颖(1995-),女,硕士研究生,研究方向为植被生态学. E-mail: zhaomengying@ibcas.ac.cn
  • 基金资助:
    中国科学院战略性先导科技专项-暖温带温带落叶灌丛碳汇研究 (XDA05050301);科技基础工作专项-我国北方灌丛植物群落调查 (2015FY1103003)资助

Models for Estimating the Biomass of 26 Temperate Shrub Species in Inner Mongolia,China

ZHAO Meng-ying1,2, SUN Wei3, LUO Yong-kai1,2, LIANG Cun-zhu3, LI Zhi-yong3, SHEN Hai-hua1, NIU Xia-xia3, ZHENG Cheng-yang4, HU Hui-feng1, MA Wen-hong3   

  1. 1. State Key Laboratory of Vegetation and Environmental Change,Institute of Botany,Chinese Academy of Sciences, Beijing 100093,China;
    2. University of Chinese Academy of Sciences,Beijing 100049,China;
    3. College of Ecology and Environment Science,Inner Mongolia University,Hohhot 010021,Inner Mongolia,China;
    4. College of Urban and Environmental Sciences,Beijing University,Beijing 100871,China
  • Received:2018-11-27 Revised:2019-03-07 Online:2025-10-14

摘要: 生物量模型是估算灌木生物量的重要方法之一,本文采用4种数学模型(一元线性模型、二元线性模型、对数模型、幂函数模型),3个预测变量株高(H)、冠幅(C)、植株体积(V)对内蒙古地区26种常见温带灌木进行生物量方程的拟合,同时比较不同生境类型间灌木根冠比的差异。结果表明: ① 最优生物量方程以幂函数模型和一元线性函数模型为主,最佳预测变量以冠幅(C)和植株体积(V)为主。② 有17种灌木不同器官最优生物量方程的形式和预测变量相同,表明物种内的生物量方程形式具有一定的一致性;但各器官生物量方程的系数又各不相同,因此分种进行不同器官生物量的拟合可以更准确地估算生物量。 ③ 草地灌木和山地灌木的根冠比显著大于荒漠灌木的根冠比。通过建立分种分器官的生物量估算模型,可以为内蒙古地区灌木生物量的计算以及灌丛生态系统碳库的估算提供便利。

关键词: 温带灌木, 生物量模型, 根冠比, 内蒙古

Abstract: Biomass Model is one of the important methods used to estimate the shrub biomass.Little attempt has been tried to systematically investigate the biomass in shrublands compared with that in forest and grassland ecosystems because of the harsh conditions to carry out field work.In this study 4 common mathematical models (monadic linear model,binary linear model,logarithmic function model and power function model) and 3 prediction variables (height,H; canopy,C; and volume,V) were used to establish the equations for estimating the biomasses of 26 common temperate shrub species in Inner Mongolia,and the R/S ratios of these shrub species in different habitats were compared.The results showed that: ① The power function and linear function models were the main models used for estimating the biomass,and C and V were the optimal predictors; ② The optimal equations and their prediction variables for estimating the biomasses of different organs of 17 shrub species were the same,which indicated that the equation forms for estimating the biomass were similar.However,the coefficients for different organs in the model were different,it was more accurate to estimate the biomass by using the species-specific biomass equations for each species and organs; ③ The R/S ratio of shrub species in grassland and mountainous habitats was significantly higher than that in desert habitat.Through developing the biomass models and studying the R/S ratios of common temperate shrub species in Inner Mongolia,the vegetation biomass and carbon storage of the shrubland ecosystem in Inner Mongolia could be conveniently estimated.

Key words: temperate shrub species, biomass equation, R/S ratio, Inner Mongolia