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Ecological zoning for regional sustainable development using an integrated modeling approach in the Bohai Rim, China

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  • Liu, Xuehua
  • Liu, Lin
  • Peng, Yu

Abstract

China is in its quick social and economic development which has caused various environmental problems to some extent. Ecological zoning and distinguishing the highly-important ecological areas (also termed as the ecological red-line zone in this study) and protecting them from anthropogenic interference is an effective measure for regional environment protection and sustainable development. In this study, we applied an integrated modeling approach to implement the ecological zoning in the Bohai Rim for regional sustainability, and selected 12 single factors to calculate three integrated indicators: ecosystem sensitivity, ecosystem services and ecological risks. Based on three integrated indicators, we obtained the ecological zoning map with three zones for the study area, which are the highly-important ecological areas, the moderately-important ecological areas and the lowly-important ecological areas. The zoning result showed that the highly- and moderately-important ecological zones cover 23.2% and 37.9% of the Bohai Rim respectively, which should be protected. The remained lowly-important ecological zone covers 38.9% of the Bohai Rim, which can be used for economic and industry development. This study shows that the zoning approach is reasonable and instructive to guide and arrange the land use for regional sustainable development. Such an ecological zoning can greatly solve the conflicts between environmental protection and regional economic and industry development and further forms a safe ecological pattern. Two contributions of our work are that (1) our modeling approach is scientific, reasonable and meaningful for other planning works and can be used for reference to the regions and countries with similar situation, and (2) the zoning pattern mapped in our study is helpful to guide Bohai regional development and the safe arrangement of economic and industry development.

Suggested Citation

  • Liu, Xuehua & Liu, Lin & Peng, Yu, 2017. "Ecological zoning for regional sustainable development using an integrated modeling approach in the Bohai Rim, China," Ecological Modelling, Elsevier, vol. 353(C), pages 158-166.
  • Handle: RePEc:eee:ecomod:v:353:y:2017:i:c:p:158-166
    DOI: 10.1016/j.ecolmodel.2016.09.027
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    References listed on IDEAS

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    Cited by:

    1. Yang Zhou & Hankun Wang & Zuqiang Wang & Xiang Dai, 2022. "The Improvement Path for Regionally Coordinated Green Development: Evidence from Social Network Analysis," IJERPH, MDPI, vol. 19(18), pages 1-14, September.
    2. Song, Min & Yi, Luping & Hu, Can, 2023. "Building up a compensation-oriented transferable development right mechanism: A theoretical and empirical exploration in Hubei, China," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    3. Yang Zhang & Yanfang Liu & Yan Zhang & Xuesong Kong & Ying Jing & Enxiang Cai & Lingyu Zhang & Yi Liu & Zhengyu Wang & Yaolin Liu, 2019. "Spatial Patterns and Driving Forces of Conflicts among the Three Land Management Red Lines in China: A Case Study of the Wuhan Urban Development Area," Sustainability, MDPI, vol. 11(7), pages 1-17, April.
    4. Peipei Zhang & Changbo Qin & Lei Yu & Liyan Yang & Lu Lu, 2023. "A New Policy of Water Resources and Environmental Regulation in China," IJERPH, MDPI, vol. 20(3), pages 1-17, January.
    5. Can Zhang & Shiming Fang, 2021. "Identifying and Zoning Key Areas of Ecological Restoration for Territory in Resource-Based Cities: A Case Study of Huangshi City, China," Sustainability, MDPI, vol. 13(7), pages 1-21, April.
    6. Lin Liu & Wei Song & Yanjie Zhang & Ze Han & Han Li & Dazhi Yang & Zhanyun Wang & Qiang Huang, 2021. "Zoning of Ecological Restoration in the Qilian Mountain Area, China," IJERPH, MDPI, vol. 18(23), pages 1-18, November.
    7. Lei Wang & Bo Yu & Fang Chen & Ning Wang & Congrong Li, 2022. "An Analysis of Eco–Environmental Changes in Rural Areas in China Based on Sustainability Indicators between 2000 and 2015," Land, MDPI, vol. 11(8), pages 1-16, August.
    8. Yi, Su & Xiao-li, An, 2018. "Application of threshold regression analysis to study the impact of regional technological innovation level on sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 27-32.

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