DocumentCode :
2705533
Title :
Developing green space ecological networks in Shijiazhuang city, China
Author :
Zhuang, Yanmei ; Yin, Haiwei ; Kong, Fanhua ; Fan, Fengqiu
Author_Institution :
Int. Inst. for Earth Syst. Sci., Nanjing Univ., Nanjing, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
6
Abstract :
Green spaces, an important component of ecosystems, not only provide many environmental and social services that contribute to the quality of life, but also are the important carriers for biodiversity conservation. Rapid urbanization has led to fragmentation of green space, and it is a great threat for biodiversity conservation. One of the key tasks for planners is to optimize the benefits of green spaces. This study introduces a “shortest path” method for developing green spaces ecological networks in Shijiazhuang city through (1) land use and green spaces analysis based on GIS; (2) quantifying simulated potential corridors based on the shortest path method to develop green space ecological networks; (3) applying the gravity model in evaluating the interaction intensity of the green patches to extract the significant ecological corridors. Some suggestions for green spaces planning were given, such as improving the connection of the green patches and optimizing the green space pattern.
Keywords :
ecology; geographic information systems; land use planning; China; GIS; Shijiazhuang city; biodiversity conservation; ecosystems; gravity model; green patche connection; green space ecological networks; green space fragmentation; green space pattern optimisation; green spaces analysis; land use analysis; potential corridor quantification; shortest path method; simulated potential corridors; urbanization; Biodiversity; Biological system modeling; Cities and towns; Gravity; Green products; Impedance; Surface impedance; GIS; biodiversity conservation; ecological network; green spaces; shortest path;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-024X
Print_ISBN :
978-1-61284-849-5
Type :
conf
DOI :
10.1109/GeoInformatics.2011.5980676
Filename :
5980676
Link To Document :
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