Journal of Food, Agriculture and Environment




Vol 11, Issue 3&4,2013
Online ISSN: 1459-0263
Print ISSN: 1459-0255


Dynamic characteristics of Wuhan urban green land based on landscape connectivity


Author(s):

Pujiang Huang 1, Yanfang Liu 1, 2*, Jing Qian 1, Chang Liu 3

Recieved Date: 2013-07-12, Accepted Date: 2013-10-10

Abstract:

Although rapid urbanization has improved living conditions, progress has caused several environmental problems, and has posed a serious threat to regional sustainability. Hence, reducing the negative effects linked to rapid urbanization has become an urgent task. As a vital part of the urban ecosystem, urban green land connectivity is a significant criteria for assessing the sustainable development of urban ecology. This study selected the highly urbanized Wuhan city as a research area, and used the Landsat 5 TM images from 2005 and the Landsat 7 ETM+ images from 2000 and 2010. These images were combined by using the graph-based integral index of connectivity (IIC), probability of connectivity (PC), and the importance value of the patch to analyze the spatial and temporal dynamic characteristics of the Wuhan urban green land. The results showed the increasing area and the widening Wuhan green land. However, for the past 10 years, their patch structure has been uneven, and composed of several small and super-large patches. The IIC and PC of Wuhan green land tended to increase slightly, whereas the connectivity level of urban green land remained low. The value of the importance of the patch and its range are increasing. Some of its characteristics indicated north is better than south, rural is higher than urban, and the main urban area is lesser than the urban area. Results further suggested enhancing ecological restoration efforts, ensuring the construction of core patches in urban areas, and protecting and increasing some important patches in a stepping stone pattern to optimize the quantitative and spatial layout structure of urban green land.

Keywords:

Urban green land, IIC, PC, dPC, graph theory


Journal: Journal of Food, Agriculture and Environment
Year: 2013
Volume: 11
Issue: 3&4
Category: Environment
Pages: 1648-1652


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