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Green space vegetation quantity in workshop area of Wuhan Iron and Steel Company

CHEN Fang;ZHOU Zhixiang;WANG Pengcheng;LI Haifang;ZHONG Yingfei   

  1. College of Landscape Architecture,Huazhong Agricultural University,Wuhan 430070,China

  • Received:2005-03-16 Revised:2005-07-18 Online:2006-04-18 Published:2006-04-18

Abstract: Aimed at the complex community structure and higher fragmentation of urban green space,and based on the investigation of synusia structure and its coverage,this paper studied the vegetation quantity of ornamental green space in the workshop area of Wuhan Iron and Steel Company,with the help of GIS.The results showed that different life forms of ornamental plants in this area had a greater difference in their single leaf area and leaf area index (LAI),and the LAI was not only depended on single leaf area,but also governed by the shape of tree crown and the intensive degree of branches and leaves.The total vegetation quantity was 1 694.2 hm2,with the average LAI being 7.75,and the vegetation quantity of arbor-shrub-herb and arbor-shrub communities accounted for 79.7% and 92.3% of the total,respectively,reflecting that the green space structure was dominated by arbor species and by arbor-shrub-herb and arbor-shrub community types.Single layer-structured lawn had a less percentage,while the vegetation quantity of herb synusia accounted for 22.9% of the total,suggesting an afforestation characteristic of “making use of every bit of space” in the workshop area.The vegetation quantity of urban ornamental green space depended on the area of green space,its synusia structure,and the LAI and coverage of ornamental plants.In enlarging urban green space,ornamental plant species with high LAI should be selected,and community structure should be improved to have a higher vegetation quantity in urban area.To quantify the vegetation quantity of urban ornamental green space more accurately,synusia should be taken as the unit to measure the LAI of typical species,and the synusia structure and its coverage of different community types should be investigated with the help of remote sensing images and GIS.

Key words: laccase, forest ecosystem, gene diversity, TA cloning, vegetation