• 研究报告 •

### 上海两种常绿阔叶树种生物量分配及异速生长模型

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

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.