Identification of Important Sources of Urban Green Space Ecological Network Based on Social-Ecological Function Integration and SPCA
In this paper,the comprehensive evaluation indicator system for urban ecological source based on social-ecological function integration was constructed.Taking urban green spaces in Minhang District of Shanghai as the research objects,various methods such as GIS,RS,Invest model,and landscape connectivity model were used to calculate the indicators.The indicator weight was determined using SPCA,and the importance grading of all candidate sources was achieved through spatial weighting calculation and reclassification.The results show that:1)Out of the 424 candidate sources,the most important,important,ordinary,unimportant,and extremely unimportant levels account for 16.2％,16.1％,25.3％,23.0％,and 19.4％,respectively.2)A total of 139 extremely important and important ecological sources were identified,covering an area of 18.61 square kilometers,with an average area of 0.134 square kilometers.These sources account for 35.6％of the area of all candidate sources and 5.0％of the total area of Minghang District.3)Regional green spaces are the main parts of the important urban ecological sources,followed by park green spaces,and ancillary green spaces.4)In planning practice,the scale and social-ecological functions of ecological sources can be enhanced by means of a combination of greenspace,forest,farmland,and wetland relying on the regional green spaces.The research results can provide valuable reference to accurately identify important ecological sources of green space ecological networks for Shanghai and other cities in the Yangtze River Delta.
landscape architectureurban green spaceecological networkecological sourcesocial-ecological functionlandscape connectivity
NETL
NSTL
万方数据
