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Evaluation of Resource and Environmental Carrying Capacity of China’s Rapid-Urbanization Areas—A Case Study of Xinbei District, Changzhou

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  • Kaiyuan Li

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
    Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China
    Department of Landscape Architecture and Environmental Planning, Wurster Hall, Berkeley, CA 94720, USA)

  • Xiaolong Jin

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
    Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China)

  • Danxun Ma

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
    Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China)

  • Penghui Jiang

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
    Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China)

Abstract

The evaluation of resource and environmental carrying capacity (RECC) is the foundation for the rationale behind the arrangement of land spaces for production, living, and ecological uses. In this study, based on various natural, economic, and social factors, an integrated Multi-Factor assessment model was developed to evaluate the RECC of Xinbei district of Changzhou. Meanwhile, we also calculated the population carrying capacity estimation model restricted by food security. The study comprehensively analyzed the current status and land resource characteristics of a rapid urbanization area and the RECC restrictions for protection and development. The results indicate that the comprehensive carrying capacity of Xinbei showed distinct spatial heterogeneity, with a decreasing trend from the riverside protection area to urban areas, then to mountain areas. Combined with the secure food supply provided by future land resources, it was estimated that the population carrying index of Xinbei would be as high as 1.25 and 1.22 in 2035 and 2050, respectively, indicating that both years would experience a population overload. Therefore, an urgent adjustment to the structure and layout of territorial space and resources of the Xinbei District is necessary.

Suggested Citation

  • Kaiyuan Li & Xiaolong Jin & Danxun Ma & Penghui Jiang, 2019. "Evaluation of Resource and Environmental Carrying Capacity of China’s Rapid-Urbanization Areas—A Case Study of Xinbei District, Changzhou," Land, MDPI, vol. 8(4), pages 1-17, April.
    • Handle: RePEc:gam:jlands:v:8:y:2019:i:4:p:69-:d:224784
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    References listed on IDEAS

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    Cited by:

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    2. Michel Mouléry & Esther Sanz Sanz & Marta Debolini & Claude Napoléone & Didier Josselin & Luc Mabire & José Luis Vicente-Vicente, 2022. "Self-Sufficiency Assessment: Defining the Foodshed Spatial Signature of Supply Chains for Beef in Avignon, France," Agriculture, MDPI, vol. 12(3), pages 1-14, March.
    3. Hossein Karami & Romina Sayahnia & Hossein Mahmoudi & Hossein Azadi & Sadegh Salehi, 2023. "Spatial analysis of resources and environmental carrying capacity in Iran," Natural Resources Forum, Blackwell Publishing, vol. 47(1), pages 60-86, February.
    4. Yukui Zhang & Tao Lin & Junmao Zhang & Meixia Lin & Yuan Chen & Yicheng Zheng & Xiaotong Wang & Yuqin Liu & Hong Ye & Guoqin Zhang, 2024. "Potential and Influencing Factors of Urban Spatial Development under Natural Constraints: A Case Study of the Guangdong-Hong Kong-Macao Greater Bay Area," Land, MDPI, vol. 13(6), pages 1-16, June.
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    6. 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.
    7. Chuqiao Han & Binbin Lu & Jianghua Zheng, 2021. "Analysis and Prediction of Land Resources’ Carrying Capacity in 31 Provinces of China from 2008 to 2016," Sustainability, MDPI, vol. 13(23), pages 1-20, December.

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