• Journal of Natural Resources
  • Vol. 35, Issue 1, 130 (2020)
Yang-fan LI1、2, Zhi-yuan XIANG1, Yi YANG1, Quan-li WANG1, and Yi LI1、2、*
Author Affiliations
  • 1College of the Environment & Ecology, Xiamen University, Xiamen 361102, Fujian, China
  • 2Coastal and Ocean Management Institute, Xiamen University, Xiamen 361102, Fujian, China
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    DOI: 10.31497/zrzyxb.20200112 Cite this Article
    Yang-fan LI, Zhi-yuan XIANG, Yi YANG, Quan-li WANG, Yi LI. Application of ecological restoration and planning based on resilience thinking in coastal areas[J]. Journal of Natural Resources, 2020, 35(1): 130 Copy Citation Text show less

    Abstract

    Adaptive characteristics of a resilient system (plan-absorb-recover-adapt) provide supports for ecological restoration and guidances for coastal spatial planning. In this research, we took coastal area of Mulanwan in Hainan province as a case study to estimate desertification mitigation and adaptation based on resilience theory. We developed a methodology of land spatial planning according to the analysis of vulnerability and ecosystem services in our study area. Our results show that: (1) Dry land and sand (21.8% of the total area) were identified as high vulnerability area, forests, water and wetlands (67.5% of the total area) were classified as areas with high ecosystem services; (2) Redeveloping restoration areas were mainly identified in fishing ponds and dry lands (16.4% of the total area), artificial restoration area was located on dry land and windward side (5.5% of the total area), and conservative zone was mainly covered by sands (15.8% of the total area). System's responses to human-related and environmental pressures can be characterized by overlapping the maps of vulnerability and ecosystem services, which addresses the integrated management and resilient restoration in coastal areas.
    Yang-fan LI, Zhi-yuan XIANG, Yi YANG, Quan-li WANG, Yi LI. Application of ecological restoration and planning based on resilience thinking in coastal areas[J]. Journal of Natural Resources, 2020, 35(1): 130
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