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Optimization of Green Infrastructure Network in Fengdong New Town Based on MSPA and MCR Model

Received: 9 September 2021    Accepted: 14 October 2021    Published: 19 October 2021
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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.

Published in Science Discovery (Volume 9, Issue 5)
DOI 10.11648/j.sd.20210905.15
Page(s) 226-233
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Green Infrastructure (GI) Network, Morphological Spatial Pattern Analysis (MSPA), Landscape Connectivity, Minimum Cumulative Resistance (MCR) Model, Fengdong New Town

References
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  • APA Style

    Ting Wang, Yunying Ren. (2021). Optimization of Green Infrastructure Network in Fengdong New Town Based on MSPA and MCR Model. Science Discovery, 9(5), 226-233. https://doi.org/10.11648/j.sd.20210905.15

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    ACS Style

    Ting Wang; Yunying Ren. Optimization of Green Infrastructure Network in Fengdong New Town Based on MSPA and MCR Model. Sci. Discov. 2021, 9(5), 226-233. doi: 10.11648/j.sd.20210905.15

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    AMA Style

    Ting Wang, Yunying Ren. Optimization of Green Infrastructure Network in Fengdong New Town Based on MSPA and MCR Model. Sci Discov. 2021;9(5):226-233. doi: 10.11648/j.sd.20210905.15

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  • @article{10.11648/j.sd.20210905.15,
      author = {Ting Wang and Yunying Ren},
      title = {Optimization of Green Infrastructure Network in Fengdong New Town Based on MSPA and MCR Model},
      journal = {Science Discovery},
      volume = {9},
      number = {5},
      pages = {226-233},
      doi = {10.11648/j.sd.20210905.15},
      url = {https://doi.org/10.11648/j.sd.20210905.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20210905.15},
      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.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Optimization of Green Infrastructure Network in Fengdong New Town Based on MSPA and MCR Model
    AU  - Ting Wang
    AU  - Yunying Ren
    Y1  - 2021/10/19
    PY  - 2021
    N1  - https://doi.org/10.11648/j.sd.20210905.15
    DO  - 10.11648/j.sd.20210905.15
    T2  - Science Discovery
    JF  - Science Discovery
    JO  - Science Discovery
    SP  - 226
    EP  - 233
    PB  - Science Publishing Group
    SN  - 2331-0650
    UR  - https://doi.org/10.11648/j.sd.20210905.15
    AB  - 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.
    VL  - 9
    IS  - 5
    ER  - 

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Author Information
  • Department of Urban and Rural Planning, School of Architecture, Xi 'an University of Architecture and Technology, Xi 'an, China

  • Department of Urban and Rural Planning, School of Architecture, Xi 'an University of Architecture and Technology, Xi 'an, China

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