Urban multi-scale ecological network sequence and spatial structure optimization: A case study in Nanjing city, China

被引:3
|
作者
Zhang, Yan [1 ,2 ]
Lu, Ming [1 ,2 ,5 ]
Ma, Wenda [3 ]
Meng, Qinghe [1 ,2 ]
Li, Zhen [4 ]
Wu, Yuanxiang [1 ,2 ]
机构
[1] Harbin Inst Technol, Sch Architecture & Design, Harbin 150006, Peoples R China
[2] Minist Nat Resources, Key Lab Natl Terr Spatial Planning & Ecol Restorat, Harbin 150006, Peoples R China
[3] Jiangsu Prov Planning & Design Grp, Nanjing 210019, Peoples R China
[4] Univ Utrecht, Dept Human Geog & Spatial Planning, Vening Meineszgebouw A,Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands
[5] 92 Xidazhi St, Harbin, Heilongjiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-scale; Ecological network; Sequence; Element characteristic; Nanjing; CIRCUIT-THEORY; CONNECTIVITY; CONSERVATION; FRAMEWORK; PATTERNS; DENSITY; MODEL; AREA;
D O I
10.1016/j.ecolind.2024.112622
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Rapid urbanization has had a segmented effect on the ecological land and natural environment in cities. Constructing an ecological network is of vital importance to protect ecological resources and maintain regional ecological security. However, ecological spaces at different administrative scales have their own ecological functions and elemental characteristics. Therefore, we formed the ecological network sequence to present the integrative connection of multi-scale with municipal area (MA), main urban area (MUA) and central urban area (CUA) in Nanjing. Ecological sources were identified through "landscape-function-structure" framework, and ecosystem services value (ESV) was used as an auxiliary method to identify supplementary sources. Ecological corridors and some key points were identified through circuit theory. The results show that the area of ecological sources in MA, MUA and CUA was 427.3 km(2), 62.5 km2 2 and 16.2 km(2), respectively. By integrating sources of three scales, we got 14 sources (442.7 km(2)) in the first sequence and 10 sources (7.7 km(2)) in the second sequence. Apart from that, we also got 4 new supplementary sources with area of 13.5 km(2). The length of ecological corridors in MA, MUA and CUA was 252.5 km, 263.9 km and 22.7 km, respectively. By integrating corridors of three scales, we found that the western corridors between the ecological sources had a higher gravitation. The ecological nodes are generally distributed in the landscape heterogeneity transition zone, ecological resource fringe zone and ecological spatial contiguous zone. The ecological pinch points are generally distributed along the water system. The ecological barrier points are generally distributed in the combination area among the urban block, village and road. In conclusion, this study made up for the research gap of finding the nesting and integration relationship among ecological networks at multi-scale.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Construction and optimization of ecological networks in karst regions based on multi-scale nesting: A case study in Guangxi Hechi, China
    Shuai, Niu
    Hu, Yecui
    Gao, Mengwen
    Guo, Zelian
    Bai, Yuping
    ECOLOGICAL INFORMATICS, 2023, 74
  • [2] Spatial Optimization and Temporal Changes in the Ecological Network: A Case Study of Wanning City, China
    Zou, Shisi
    Fan, Rong
    Gong, Jian
    LAND, 2024, 13 (01)
  • [3] Assessment and optimization of urban ecological network resilience based on disturbance scenario simulations: A case study of Nanjing city
    Li, Jiaxin
    Nie, Wenbin
    Zhang, Mengxian
    Wang, Lina
    Dong, Haiyan
    Xu, Bin
    JOURNAL OF CLEANER PRODUCTION, 2024, 438
  • [4] Exploring the Spatial Relationship between the Ecological Topological Network and Carbon Sequestration Capacity of Coastal Urban Ecosystems: A Case Study of Yancheng City, China
    Zhu, Nanyan
    Ai, Jingwen
    Zeng, Zhen
    Zhou, Chunhua
    REMOTE SENSING, 2023, 15 (16)
  • [5] Predicting Rural Ecological Space Boundaries in the Urban Fringe Area Based on Bayesian Network: A Case Study in Nanjing, China
    Yuan, Yangyang
    Yang, Yuchen
    Wang, Ruijun
    Cheng, Yuning
    LAND, 2022, 11 (11)
  • [6] Constructing ecological network based on multi-objective genetic algorithms: a case study of Changsha City, China
    Xiao, Shancai
    Peng, Jian
    Hu, Tao
    Tang, Hui
    LANDSCAPE ECOLOGY, 2024, 39 (12)
  • [7] Urban Road Network Expansion and Its Driving Variables: A Case Study of Nanjing City
    Shi, Ge
    Shan, Jie
    Ding, Liang
    Ye, Peng
    Li, Yang
    Jiang, Nan
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (13)
  • [8] Multi-Scale Spatial Structure Impacts on Carbon Emission in Cold Region: Case Study in Changchun, China
    Li, Bingxin
    Zheng, Qiang
    Jiang, Xue
    He, Chennan
    SUSTAINABILITY, 2025, 17 (01)
  • [9] Ecological network resilience evaluation and ecological strategic space identification based on complex network theory: A case study of Nanjing city
    Wu, Zhen
    Cheng, Shi
    Xu, Keyi
    Qian, Yanping
    ECOLOGICAL INDICATORS, 2024, 158
  • [10] Spatiotemporal evolution of the rural-urban interface and its effects on ecological landscape structure and function: A case study of Nanjing, China
    Cao, Hui
    Li, Pingxing
    Chen, Jianglong
    Chen, Cheng
    Song, Weixuan
    ECOLOGICAL INDICATORS, 2024, 166