{"title":"Optimization of Green Infrastructure Network in Fengdong New Town Based on MSPA and MCR Model","authors":"Ting Wang, Yunying Ren","doi":"10.11648/J.SD.20210905.15","DOIUrl":null,"url":null,"abstract":"The concept of life community integrating \"mountains, rivers, forests, farmlands, lakes, and grasslands\", proposed by the Chinese government, emphasizes the protection and restoration of ecosystem integrity. The construction of green infrastructure (GI) network can connect fragmented habitats, improve landscape connectivity, optimize ecological network, and thus maintain ecological security in the region. In addition, different from the ecological network, the GI network can establish a network structure with composite functions, better enrich regional biodiversity, protect historical and cultural resources, and guide rational development of leisure spaces. Taking Fengdong New Town of Xixianxi district in Xi'an as the research object and aiming at the composite functions of the GI network, this study analyzed the status quo of GI network construction by comprehensively using morphological spatial pattern analysis (MSPA), landscape connectivity analysis, and the minimum cumulative resistance (MCR) model. The following conclusions are drawn: (1) the distribution of green infrastructure in the research area is extremely uneven, the landscape is seriously fragmented, (2) the southern part of the research area has the most core sources and the best connectivity, there is no core source in the middle and east of the site, the connection also is poor, the ecological source distribution in the east and north of the site is more, but the fragmentation is serious and the connectivity is poor. Based on the above analysis results, the Optimization strategies were also proposed for the GI network in the study area, which involved adding more ecological sources and links, strengthening the construction of sites, and improving the integrity of the comprehensive GI network.","PeriodicalId":21652,"journal":{"name":"Science Discovery","volume":"41 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11648/J.SD.20210905.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The concept of life community integrating "mountains, rivers, forests, farmlands, lakes, and grasslands", proposed by the Chinese government, emphasizes the protection and restoration of ecosystem integrity. The construction of green infrastructure (GI) network can connect fragmented habitats, improve landscape connectivity, optimize ecological network, and thus maintain ecological security in the region. In addition, different from the ecological network, the GI network can establish a network structure with composite functions, better enrich regional biodiversity, protect historical and cultural resources, and guide rational development of leisure spaces. Taking Fengdong New Town of Xixianxi district in Xi'an as the research object and aiming at the composite functions of the GI network, this study analyzed the status quo of GI network construction by comprehensively using morphological spatial pattern analysis (MSPA), landscape connectivity analysis, and the minimum cumulative resistance (MCR) model. The following conclusions are drawn: (1) the distribution of green infrastructure in the research area is extremely uneven, the landscape is seriously fragmented, (2) the southern part of the research area has the most core sources and the best connectivity, there is no core source in the middle and east of the site, the connection also is poor, the ecological source distribution in the east and north of the site is more, but the fragmentation is serious and the connectivity is poor. Based on the above analysis results, the Optimization strategies were also proposed for the GI network in the study area, which involved adding more ecological sources and links, strengthening the construction of sites, and improving the integrity of the comprehensive GI network.