| Along with China’s rapid economic development, increasing urbanization, environmental problems facing the city have become increasingly prominent, so the level of urban greening is considered as the important factor of keeping urban sustainable development. As the traditional two-dimensional green biomass indicators have gradually shown its limitations on reflecting the relationship between urban green space and urban ecosystem, by using "living vegetation volume(LVV)" which describes the three-dimensional structure of greening, can calculate the quantity of urban greening more precisely, express the quality of ecological services of urban green space more scientifically, reflect the rationality of urban green space structure and the level of its ecological benefits more accurately, measure the whole level of urban greening more effectively. As a special urban green space, urban scenic spot affected by human activity deeper,It has characteristics of a high population density, shortage of land, poor stability of ecological systems and so on, therefore its planning and design is different from other types of green space, we should consider its overall relationship with the external.Based on the attention and consideration about above problems, with the support of National Natural Science Foundation Project "A research of pattern of urban LVV based on leaf area index inversion " (grant number: 30972413), This study attempts to establish a relationship between LAI and community types which based on the field measurement for LAI of different vegetation communities in Scenic Area and the surrounding area. A distribution pattern of LAI and community in Scenic Area and the surrounding area is analyzed through estimation of LAI and acquiring of information of community, with vegetation indices of Scenic Area and the surrounding area from RS image, the main achievements are as follows:(1)The cluster analysis results of LAI values of community structures are:single herb community as a separate category; single tree, shrub and grass, tree and shrub layer merged into simple structure community; artificial tree and herbaceous layer, artificial tree, shrub and herbaceous layer merged into artificial open forest grassland community; natural tree and herbaceous layer, natural tree, shrub and herbaceous layer, multi-layer merged into natural ecological forest community;(2)Overall inversion is fitter than category inversion of sample community, the best fitting equation is the composite function model between RVI and NDVI:Y= 1.7353×1.4785x(R2=0.700);(3)A good result obtained by,using NDVI threshold 1.6,2.5,2.9 of single herb community, simple structure community, artificial open forest grassland community, natural ecological forest community as the basis for classifying vegetation communities on TM Image;(4)Combining with the distribution map of LVV and the distribution map of community types in East Lake Scenic Area and the surrounding areas, a distribution pattern of LVV and vegetation community in study area are analyzed and evaluated. In terms of LVV rating, low LVV patches have the smallest area and the highest fragmentation degree, middle LVV patches have the largest area, distribution of high LVV patches is the most centralized; About vegetation community, the distribution of single herb community is the most dispersed, simple structure community is the most extensive, artificial open forest grassland community has the smallest area, and comparatively dispersed, distribution of natural ecological forest community is the most centralized;(5)Base on the research of LVV and vegetation community’s pattern, put forward relevant measures to improve the LVV accordance with urban scenic spot and the surrounding area. |
