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Monitoring Spatial Patterns and Changes of Ecology, Production, and Living Land in Chinese Urban Agglomerations: 35 Years after Reform and Opening Up, Where, How and Why?

Author

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  • Shisong Cao

    (College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
    Key Laboratory of Resource Environment and GIS of Beijing, Beijing 100048, China)

  • Deyong Hu

    (College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
    Key Laboratory of Resource Environment and GIS of Beijing, Beijing 100048, China)

  • Wenji Zhao

    (College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
    Key Laboratory of Resource Environment and GIS of Beijing, Beijing 100048, China)

  • You Mo

    (College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
    Key Laboratory of Resource Environment and GIS of Beijing, Beijing 100048, China)

  • Shanshan Chen

    (College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
    Key Laboratory of Resource Environment and GIS of Beijing, Beijing 100048, China)

Abstract

Chinese urban agglomeration (UA) has gradually become a new world economic center and the strategic region of the “The Belt and Road Initiatives”. The spatial patterns and variations of ecology–production–living land (EPL) profoundly affect UA’s development and its ecological environment. Unfortunately, scientific understanding about the trajectories, patterns and drivers of EPL changes in Chinese urban agglomerations (UAs) since reform and opening up is still very limited. The aim of this paper was to monitor those characteristics during the last 35 years. Here, we proposed a new classification system of EPL, including ecology land (EL), industrial production land (IPL), agricultural production land (APL), urban living land (ULL) and rural living land (RLL) due to Chinese urban–rural dual structure. Then, we extracted EPL land from the Chinese LUCC product, which is the recently released remote sensing data product of high resolution spatial land use data in China at national level. Furthermore, we analyzed the spatial-temporal trajectories and driving factors of EPL for Chinese UAs during 1980–2015. The results showed that: (1) ULL and IPL in Chinese UAs were increased rapidly, while EL and APL were seriously decreased. (2) The growth patterns of ULL and IPL had shown a spatial heterogeneity. As to different regional UAs, the expansion rates of ULL and IPL ranked from high to low were as follows: eastern, central, western, and northeastern UAs. (3) National policies, population, and economy dominated the spatial-temporal changes of EPL in Chinese UAs. (4) The multi-planning integration in the structure of land use should be strengthened at UA-scale.

Suggested Citation

  • Shisong Cao & Deyong Hu & Wenji Zhao & You Mo & Shanshan Chen, 2017. "Monitoring Spatial Patterns and Changes of Ecology, Production, and Living Land in Chinese Urban Agglomerations: 35 Years after Reform and Opening Up, Where, How and Why?," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:5:p:766-:d:97816
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    References listed on IDEAS

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    1. Jieming Zhu, 2013. "Governance over Land Development during Rapid Urbanization under Institutional Uncertainty, with Reference to Periurbanization in Guangzhou Metropolitan Region, China," Environment and Planning C, , vol. 31(2), pages 257-275, April.
    2. Zhang, Yaoqi, 2005. "Multiple-use forestry vs. forestland-use specialization revisited," Forest Policy and Economics, Elsevier, vol. 7(2), pages 143-156, February.
    3. Guifang Yang & Zhenghong Chen, 2015. "RS-based fuzzy multiattribute assessment of eco-environmental vulnerability in the source area of the Lishui River of northwest Hunan Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(2), pages 1145-1161, September.
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    Cited by:

    1. Feng Lan & Huili Da & Haizhen Wen & Ying Wang, 2019. "Spatial Structure Evolution of Urban Agglomerations and Its Driving Factors in Mainland China: From the Monocentric to the Polycentric Dimension," Sustainability, MDPI, vol. 11(3), pages 1-20, January.
    2. Peng Zeng & Sihui Wu & Zongyao Sun & Yujia Zhu & Yuqi Chen & Zhi Qiao & Liangwa Cai, 2021. "Does Rural Production–Living–Ecological Spaces Have a Preference for Regional Endowments? A Case of Beijing-Tianjin-Hebei, China," Land, MDPI, vol. 10(11), pages 1-21, November.
    3. Hui Hu & Weijun Ran & Yuchen Wei & Xiang Li, 2020. "Do Energy Resource Curse and Heterogeneous Curse Exist in Provinces? Evidence from China," Energies, MDPI, vol. 13(17), pages 1-26, August.
    4. Cheng Peng & Dianzhuang Feng & Hai Long, 2022. "Assessing the Contribution of Natural Gas Exploitation to the Local Economic Growth in China," Energies, MDPI, vol. 15(16), pages 1-17, August.
    5. Yang Zhong & Aiwen Lin & Zhigao Zhou, 2019. "Evolution of the Pattern of Spatial Expansion of Urban Land Use in the Poyang Lake Ecological Economic Zone," IJERPH, MDPI, vol. 16(1), pages 1-14, January.

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