4.7 Article

Spatiotemporal resilience assessment and comparison in China's bay area

Journal

FRONTIERS IN MARINE SCIENCE
Volume 9, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fmars.2022.982263

Keywords

bay area; resilience; sustainable development; spatial and temporal assessment; ecological economic equilibrium

Funding

  1. National Natural Science Foundation of China
  2. Science Technology Department of Zhejiang of China
  3. Key Laboratory of Marine Ecosystem Dynamics, Ministry of Nature Resources
  4. Fujian Provincial Key Laboratory of Marine Ecological Conservation and Restoration
  5. [42176216]
  6. [2022C15008]
  7. [MD202001]
  8. [2021003]

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This study attempts to establish a comprehensive resilience index for coastal bays from four major dimensions and applies it to three major developed bay areas in China. The results demonstrate the capability of the index to clearly reveal resilience changes and their driving factors, while also analyzing relationships between sub-resilience systems.
The bay area is a crucial land-sea junction zone containing essential urban clusters while receiving extremely complex internal and external disturbances that challenge more on its resilience management. However, a sound management tool based on the bay area's resilience is widely lacking due to the difficulty of unifying resilience indicators and quantifying resilience relationships between regions. This paper tries to establish a comprehensive resilience index for coastal bays from four major resilience-related dimensions, namely, physical structure, social development, ecological environment, and hazards, and applies it into the three major developed bay areas in China. A coupling coordination degree model was used to further reveal the resilience development and its internal coordination by temporal and spatial differences. The results show that the index could clearly reveal the resilience changes from the year 2000 to 2020 of the three bays with the common key drivers of socioeconomic development. It also explains the resilience changes among three bay areas through analyzing synergistic and conflict relationships between the four sub-resilience systems.

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