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Vegetation Dynamics and Their Response to the Urbanization of the Beijing–Tianjin–Hebei Region, China

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  • Yuyang Chang

    (College of Land Science and Technology, China Agricultural University, Beijing 100193, China
    Key Laboratory for Agricultural Land Quality, Ministry of Natural Resources, Beijing 100193, China)

  • Geli Zhang

    (College of Land Science and Technology, China Agricultural University, Beijing 100193, China
    Key Laboratory for Agricultural Land Quality, Ministry of Natural Resources, Beijing 100193, China)

  • Tianzhu Zhang

    (College of Land Science and Technology, China Agricultural University, Beijing 100193, China
    Key Laboratory for Agricultural Land Quality, Ministry of Natural Resources, Beijing 100193, China)

  • Zhen Xie

    (College of Land Science and Technology, China Agricultural University, Beijing 100193, China
    Key Laboratory for Agricultural Land Quality, Ministry of Natural Resources, Beijing 100193, China)

  • Jingxia Wang

    (Planning Metropolitan Landscapes (PLACES) Lab Institute of Geography, Ruhr University Bochum Universitätsstraße 150, 44801 Bochum, Germany)

Abstract

Rapid global urbanization has caused substantial changes in land cover and vegetation growth. Rapid urban growth in a short time has escalated the conflicts between economic development and ecological conservation, particularly in some metropolitan regions. However, the effects of rapid urbanization on vegetation have not been fully captured, especially accounting for the latest ecological development initiatives. In this study, we chose a typical urban agglomeration, the Beijing–Tianjin–Hebei (BTH) urban agglomeration in China, and analyzed the vegetation variation and the impacts of urbanization on the vegetation growth based on transferable methods, using data such as the Normalized Difference Vegetation Index (NDVI) and the nighttime light (NTL). The results indicate significantly enhanced vegetation growth in the BTH region, with a strikingly spatial pattern of greening in the northwest, and browning in the southeast from 2001 to 2018. Besides this, the results enclose most of the areas (72%) of built-up land in the BTH, which tended to brown in the process of rapid urban development, while 27% greened with increasing urbanization. This means that the vegetation’s response to urbanization shows apparent differences and geographic heterogeneity along the urbanization gradient at the urban agglomeration scale. Parts of the periphery of the metropolis and the central areas of developing cities may experience a browning trend; however, the core urban areas of urbanized metropolises demonstrate greening, rather than browning. Furthermore, this study provides solid evidence on the remarkable greening impacts of several ecological restoration projects which are currently underway, especially in ecologically fragile areas (e.g., the suburbs). The implications derived from the urban ecological development and the transferable methodology deployed in this paper facilitate the unfolding relationships between urbanization and social-ecological development. Our findings provide new insights into the interactions between vegetation dynamics and urbanization at the regional level.

Suggested Citation

  • Yuyang Chang & Geli Zhang & Tianzhu Zhang & Zhen Xie & Jingxia Wang, 2020. "Vegetation Dynamics and Their Response to the Urbanization of the Beijing–Tianjin–Hebei Region, China," Sustainability, MDPI, vol. 12(20), pages 1-21, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:20:p:8550-:d:428889
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    References listed on IDEAS

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    1. Zhao, Jincai & Ji, Guangxing & Yue, YanLin & Lai, Zhizhu & Chen, Yulong & Yang, Dongyang & Yang, Xu & Wang, Zheng, 2019. "Spatio-temporal dynamics of urban residential CO2 emissions and their driving forces in China using the integrated two nighttime light datasets," Applied Energy, Elsevier, vol. 235(C), pages 612-624.
    2. L. Xu & R. B. Myneni & F. S. Chapin III & T. V. Callaghan & J. E. Pinzon & C. J. Tucker & Z. Zhu & J. Bi & P. Ciais & H. Tømmervik & E. S. Euskirchen & B. C. Forbes & S. L. Piao & B. T. Anderson & S. , 2013. "Temperature and vegetation seasonality diminishment over northern lands," Nature Climate Change, Nature, vol. 3(6), pages 581-586, June.
    3. Lu, Heli & Liu, Guifang, 2014. "Spatial effects of carbon dioxide emissions from residential energy consumption: A county-level study using enhanced nocturnal lighting," Applied Energy, Elsevier, vol. 131(C), pages 297-306.
    4. Christopher D. Elvidge & Daniel Ziskin & Kimberly E. Baugh & Benjamin T. Tuttle & Tilottama Ghosh & Dee W. Pack & Edward H. Erwin & Mikhail Zhizhin, 2009. "A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data," Energies, MDPI, vol. 2(3), pages 1-28, August.
    5. Yang, Yuanyuan & Liu, Yansui & Li, Yurui & Li, Jintao, 2018. "Measure of urban-rural transformation in Beijing-Tianjin-Hebei region in the new millennium: Population-land-industry perspective," Land Use Policy, Elsevier, vol. 79(C), pages 595-608.
    6. Jiang, Chong & Nath, Reshmita & Labzovskii, Lev & Wang, Dewang, 2018. "Integrating ecosystem services into effectiveness assessment of ecological restoration program in northern China's arid areas: Insights from the Beijing-Tianjin Sandstorm Source Region," Land Use Policy, Elsevier, vol. 75(C), pages 201-214.
    7. Lili Xu & Zhenfa Tu & Yuke Zhou & Guangming Yu, 2018. "Profiling Human-Induced Vegetation Change in the Horqin Sandy Land of China Using Time Series Datasets," Sustainability, MDPI, vol. 10(4), pages 1-18, April.
    8. Chi Chen & Taejin Park & Xuhui Wang & Shilong Piao & Baodong Xu & Rajiv K. Chaturvedi & Richard Fuchs & Victor Brovkin & Philippe Ciais & Rasmus Fensholt & Hans Tømmervik & Govindasamy Bala & Zaichun , 2019. "China and India lead in greening of the world through land-use management," Nature Sustainability, Nature, vol. 2(2), pages 122-129, February.
    9. Yang Cao & Yosihiro Natuhara, 2019. "Effect of Urbanization on Vegetation in Riparian Area: Plant Communities in Artificial and Semi-Natural Habitats," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
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