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上海两种常绿阔叶树种生物量分配及异速生长模型

冷寒冰1,2,景军1,2,奉树成1,2*   

  1. (1上海植物园, 上海 200231;2上海城市植物资源开发应用工程技术研究中心, 上海 200231)
  • 出版日期:2018-12-10 发布日期:2018-12-10

Biomass distribution and allometric model of two evergreen broad-leaved tree species in Shanghai.

LENG Han-bing1,2, JING Jun1,2, FENG Shu-cheng1,2*   

  1. (1Shanghai Botanical Garden, Shanghai 200231, China; 2Shanghai Engineering Research Center of Sustainable Plant Innovation, Shanghai 200231, China).
  • Online:2018-12-10 Published:2018-12-10

摘要: 选取香樟(Cinnamomum camphora)和广玉兰(Magnolia grandiflora)两种上海代表性树种作为研究对象,采用整株收获法获取两种树种主要测树因子和地上各组分生物量,分析生物量分配格局,采用非线性方程,探讨最佳生物量异速生长模型和预测变量。结果表明:(1)香樟和广玉兰树种地上生物量分配表现为干>枝>叶。树叶、树枝、树干生物量分别占地上整株生物量的17.88%和27.31%、30.48%和27.93%、51.64%和44.76%,广玉兰叶和枝的生物量相对比例差异不显著。(2)基于胸径、高度、冠幅3个变量,建立了9种异速生物量模型,通过方程拟合优度进行评价,香樟叶、枝、干和地上整株生物量分别以模型8、模型3、模型4和模型7拟合效果最好;广玉兰则分别以模型4、模型9、模型2和模型4拟合为好。鉴于树木高度和冠幅的不易获得性,在综合考虑模型拟合优度和适应性的基础上,实际应用中需选择既实用又符合精度要求的模型。

关键词: C、N、P化学计量, 马尾松, 红壤侵蚀退化

Abstract: We investigated main tree-measuring factors and the biomass of aboveground component of two major urban tree species, Cinnamomum camphoraand Magnolia grandiflora, in Shanghai by harvest method. We further analyzed biomass allocation patterns and explored optimal biomass allometric models and predictor variables by nonlinear equation. The results showed that: (1) The biomass of aboveground components of both species was characterized by stem>branch>leaf. Relative contributions of leaves, branches and stems to total aboveground biomass of C. camphoraand M. grandiflora were 17.88% vs. 27.31%, 30.48% vs. 27.93%, and 51.64% vs. 44.76%, respectively. There was no significant difference between leaves and branches for M. grandiflora. (2) Nine allometric models for biomass were developed based on three variables of diameter at breast height, tree height, and crown width. Results of fitness evaluations of the equations showed that model 8, model 3, model 4 and model 7 fit well to leaf, branch, stem, and total aboveground biomass for C. camphora, while model 4, model 9, model 2 and model 4 for M. grandiflor, respectively. Due to the difficulty of access to tree height and crown width, optimal models selected in application should meet both practical and accurate requirements on the basis of statistics and adaptation of models.

Key words: Pinus massoniana, C:N:P stoichiometry, red soil erosion degradation