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Chinese Journal of Applied Ecology ›› 2023, Vol. 34 ›› Issue (3): 733-741.doi: 10.13287/j.1001-9332.202303.022

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Assessment of ecological resilience in Nanchang based on “risk-connectivity-potential”.

XIAO Sheng1,2,3, DUO Linghua1,2,3*, ZOU Zili2   

  1. 1Key Laboratory for Digital Land and Resources of Jiangxi Province, East China University of Technology, Nanchang 330013, China;
    2Faculty of Geomatics, East China University of Technology, Nanchang 330013, China;
    3Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang 330013, China
  • Received:2022-06-29 Accepted:2022-12-22 Published:2023-09-15

Abstract: With the rapid development of urban construction, land for construction continues to expand and the ecological land is shrinking. There are various risks and degradation phenomena. The evaluation of urban ecological resilience thus becomes particularly important. From the perspective of urbanization-induced landscape changes, we evaluated the ecological resilience level of Nanchang from 2005 to 2020 by means of “risk-connectivity-potential” model, spatial autocorrelation model and kernel density assessment, as well as its spatial-temporal variations. The results showed that from 2005 to 2020, the spatial pattern of risk, connectivity, and potential subsystems in the study area was stable, with significant differences. The ecological risk was high in the middle and low in the east and west, while the spatial distribution of connectivity and ecological potential was opposite to the ecological risk, showing a pattern of low in the middle and high in the east and west. The overall level of ecological resilience was not high, with medium and low resilience levels as the main body. The low level continued to grow, and high value areas gradually decreased. The “high-high” cluster type of ecological resilience was decreasing, while the “low-low” cluster type was gradually increasing. Results of Kernel density assessment showed that the overall resilience level of Nanchang had little change, with obvious spatial difference. The number and distribution of different landscape types should be adjusted according to the characteristics of the ecological resilience level of different regions, in combination with the urban planning layout. The connectivity and agglomeration of spatial distribution of different landscape types should be changed to achieve the optimization and improvement of the overall regional ecological resilience level. The results could provide a theoretical basis for urban spatial planning and layout.

Key words: ecological resilience, “risk-connectivity-potential” model, spatiotemporal characteristics