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Variability of urban fractional vegetation cover and its driving factors in 328 cities in China

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Abstract

Urban green space promotes the health of urban residents, enhances urban ecosystem biodiversity, mitigates environmental pollution, and attenuates urban heat island effect. However, urban vegetation cover is highly heterogeneous and difficult to quantify. In this study, the variation of urban fractional vegetation cover (FVC) in 328 cities in China from 1990 to 2022 was quantified based on Landsat satellite data at a 30-m resolution. It was found that from 1990 to 2005, due to increases in building density and impervious surfaces in cities, the national mean urban vegetation cover decreased from 0.38 to 0.35. After 2005, urban vegetation cover began to reverse, reaching 0.45 in 2022. This increasing trend was most pronounced in newly built urban districts. The decrease in average urban vegetation cover before 2005 was mainly due to the expansion of low vegetation cover areas, while the increase in urban vegetation cover after 2005 manifested as the expansion of high vegetation cover areas. The reversal in the trend of urban vegetation cover change after 2004 is related to the gradual implementation of national policies requiring increased urban green space coverage. The urban gross domestic product (GDP) showed the highest correlation with changes in urban vegetation cover. For large and medium-sized cities, the top three factors influencing vegetation cover were GDP, urban population, and temperature. However, for cities in arid/semi-arid regions, changes in vegetation cover were more sensitive to climatic factors (such as precipitation). Although the urban vegetation cover in China has substantially increased in recent years, the urban green space in small-sized cities and in the old urban districts of large-sized cities still have room to improve.

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References

  • Briber B M, Hutyra L R, Reinmann A B, Raciti S M, Dearborn V K, Holden C E, Dunn A L. 2015. Tree productivity enhanced with conversion from forest to urban land covers. PLoS ONE, 10: e0136237

    PubMed  PubMed Central  Google Scholar 

  • Chakraborty T, Lee X. 2019. A simplified urban-extent algorithm to characterize surface urban heat islands on a global scale and examine vegetation control on their spatiotemporal variability. Int J Appl Earth Observ Geoinf, 74: 269–280

    Google Scholar 

  • Chang Y, Zhang G, Zhang T, Xie Z, Wang J. 2020. Vegetation dynamics and their response to the urbanization of the Beijing-Tianjin-Hebei Region, China. Sustainability, 12: 8550

    Google Scholar 

  • Chen A, Yao X A, Sun R, Chen L. 2014. Effect of urban green patterns on surface urban cool islands and its seasonal variations. Urban Forry Urban Greening, 13: 646–654

    Google Scholar 

  • Chen W Y, Li X. 2021. Urban forests’ recreation and habitat potentials in China: A nationwide synthesis. Urban Forry Urban Greening, 66: 127376

    Google Scholar 

  • Cui J, Liu H, Chen Y, 2021. Changes in green coverage rate of urban built-up areas in China and influencing factors (in Chinese). J Ecol Environ, 30: 331–339

    Google Scholar 

  • Department of Urban Surveys National Bureau of Statistics of China. 1990–2018. China City Statistical Yearbook. Beijing: China Statistics Press

    Google Scholar 

  • Du J, Quan Z, Fang S, Liu C, Wu J, Fu Q. 2020. Spatiotemporal changes in vegetation coverage and its causes in China since the Chinese economic reform. Environ Sci Pollut Res, 27: 1144–1159

    Google Scholar 

  • Duan X, Huang Q, Bai Y, Feng X, Zhou Y, 2023. Identification and comparative analysis of vegetation greening trends in built-up areas in China (in Chinese). J Beijing Norm Univ-Nat Sci, 59: 206–217

    Google Scholar 

  • Feng D, Bao W, Yang Y, Fu M. 2021. How do government policies promote greening? evidence from China. Land Use Policy, 104: 105389

    Google Scholar 

  • Fu Y, Lu X, Zhao Y, Zeng X, Xia L. 2013. Assessment impacts of weather and land use/land cover (LULC) change on urban vegetation net primary productivity (NPP): A case study in Guangzhou, China. Remote Sens, 5: 4125–4144

    ADS  Google Scholar 

  • Gao L, Wang X, Johnson B A, Tian Q, Wang Y, Verrelst J, Mu X, Gu X. 2020. Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: A review. ISPRS J Photogrammetry Remote Sens, 159: 364–377

    ADS  Google Scholar 

  • Giannico V, Spano G, Elia M, D’Este M, Sanesi G, Lafortezza R. 2021. Green spaces, quality of life, and citizen perception in European cities. Environ Res, 196: 110922

    CAS  PubMed  Google Scholar 

  • Gong P, Li X, Zhang W. 2019. 40-Year (1978–2017) human settlement changes in China reflected by impervious surfaces from satellite remote sensing. Sci Bull, 64: 756–763

    Google Scholar 

  • Gutman G, Ignatov A. 1998. The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models. Int J Remote Sens, 19: 1533–1543

    Google Scholar 

  • Hu Y, Ge S, Yan Q, 2023. Research on the historical evolution of urban landscaping policy since the founding of new China: Quantitative analysis based on policy texts from 1949 to 2021 (in Chinese). Chin Landsc Archit, 39: 133–138

    Google Scholar 

  • Huang C, Yang J, Jiang P. 2018. Assessing impacts of urban form on landscape structure of urban green spaces in China using landsat images based on Google Earth engine. Remote Sens, 10: 1569

    ADS  Google Scholar 

  • Huang C, Ye X. 2015. Spatial modeling of urban vegetation and land surface temperature: A case study of Beijing. Sustainability, 7: 9478–9504

    Google Scholar 

  • Huang H, Chen Y, Clinton N, Wang J, Wang X, Liu C, Gong P, Yang J, Bai Y, Zheng Y, Zhu Z. 2017. Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine. Remote Sens Environ, 202: 166–176

    ADS  Google Scholar 

  • Jing X, Yao W Q, Wang J H, Song X Y. 2011. A study on the relationship between dynamic change of vegetation coverage and precipitation in Beijing’s mountainous areas during the last 20 years. Math Comput Model, 54: 1079–1085

    Google Scholar 

  • Kabisch N, Haase D. 2013. Green spaces of European cities revisited for 1990–2006. Landscape Urban PlAnning, 110: 113–122

    Google Scholar 

  • Kuang W. 2019. Mapping global impervious surface area and green space within urban environments. Sci China Earth Sci, 62: 1591–1606

    ADS  Google Scholar 

  • Kuang W, Liu J, Dong J, Chi W, Zhang C. 2016. The rapid and massive urban and industrial land expansions in China between 1990 and 2010: A CLUD-based analysis of their trajectories, patterns, and drivers. Landscape Urban PlAnning, 145: 21–33

    Google Scholar 

  • Kuang W, Zhang S, Li X, Lu D. 2021. A 30 m resolution dataset of China’s urban impervious surface area and green space, 2000–2018. Earth Syst Sci Data, 13: 63–82

    ADS  Google Scholar 

  • Lafortezza R, Giannico V. 2019. Combining high-resolution images and LiDAR data to model ecosystem services perception in compact urban systems. Ecol Indicators, 96: 87–98

    Google Scholar 

  • Li D, Wu S, Liang Z, Li S. 2020. The impacts of urbanization and climate change on urban vegetation dynamics in China. Urban Forry Urban Greening, 54: 126764

    Google Scholar 

  • Li F, Xiong L. 2017. Spatial Differentiation Patterns and Influencing Mechanism of Urban Greening in China: Based on Data of 289 Cities (in Chinese). In: Proceedings of the 2017 Annual Meeting of the Chinese Society of Landscape Architecture. 298–302

  • Li J, Song C, Cao L, Zhu F, Meng X, Wu J. 2011. Impacts of landscape structure on surface urban heat islands: A case study of Shanghai, China. Remote Sens Environ, 115: 3249–3263

    ADS  Google Scholar 

  • Li L, Zhan W, Ju W, Peñuelas J, Zhu Z, Peng S, Zhu X, Liu Z, Zhou Y, Li J, Lai J, Huang F, Yin G, Fu Y, Li M, Yu C. 2023. Competition between biogeochemical drivers and land-cover changes determines urban greening or browning. Remote Sens Environ, 287: 113481–113495

    Google Scholar 

  • Li S Y, Zhang C, Zhang X Y, Wang X Y, Zhu Z F, 2022. Current Situation, Effectiveness and Trend of Forest City (in Chinese).Construction in China For Econ, 136–140

    Google Scholar 

  • Li X, Zhou Y, Zhu Z, Cao W. 2020. A national dataset of 30 m annual urban extent dynamics (1985–2015) in the conterminous United States. Earth Syst Sci Data, 12: 357–371

    ADS  Google Scholar 

  • Li Y, Liu H, Tang Q, Lu D D, Xiao N C, 2014. Spatial-temporal patterns of China’s interprovincial migration, 1985–2010. J Geogr Sci, 24: 907–923

    Google Scholar 

  • Li J M, He Y, Kattel G R, Shang Y, Wang Q F, Zhang X. 2022. Double effect of urbanization on vegetation growth in China’s 35 cities during 2000–2020. Remote Sens, 14: 3312

    ADS  Google Scholar 

  • Liu C, Huang H, Sun F. 2021. A pixel-based vegetation greenness trend analysis over the Russian tundra with all available landsat data from 1984 to 2018. Remote Sens, 13: 4933

    ADS  Google Scholar 

  • Liu J, Liu M, Tian H, Zhuang D, Zhang Z, Zhang W, Tang X, Deng X. 2005. Spatial and temporal patterns of China’s cropland during 1990–2000: An analysis based on landsat TM data. Remote Sens Environ, 98: 442–456

    ADS  Google Scholar 

  • Liu X, Hu G, Chen Y, Li X, Xu X, Li S, Pei F, Wang S. 2018. High-resolution multi-temporal mapping of global urban land using landsat images based on the Google Earth engine platform. Remote Sens Environ, 209: 227–239

    ADS  Google Scholar 

  • Liu X, Wang K, Wang L, Zhang Y, Li X. 2023. Forest City building in the new era: Value,Opportunities and Paths to Realization (in Chinese). J Chin Urban For, 21: 8–12

    Google Scholar 

  • Liu Y, Kong L, Xiao Y, Zheng H, 2019. Relationships between landscape pattern and ecosystem water purification service in the Yangtze River Basin (in Chinese). Acta Ecol Sin, 39: 844–852

    Google Scholar 

  • Liu Z, Hong G, 2016. Study on the spatio-temporal evolution characteristic and disparity decomposition of urban green level in Jiangsu Province (in Chinese). Huazhong Architecture, 34: 96–100

    Google Scholar 

  • Liu Z, Wang J, Hong G, 2016. The relation between green space and land use of Chinese Cities: Based On The data of provinces from 1996 To 2013 (in Chinese). Planners, 32: 98–104

    Google Scholar 

  • Lu Z, Deng X, 2011. China’s western development strategy: Policies, Effects and Prospects. MPRA Paper. 1–26

  • Patwary M M, Ashraf S, Shuvo F K. 2020. Land use changes and their effects on urban ecosystem services value: A study of Khulna city, Bangladesh. 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE. 62–65

  • Peng L, Deng W, Liu Y. 2021. Understanding the role of urbanization on vegetation dynamics in mountainous areas of Southwest China: Mechanism, spatiotemporal pattern, and policy implications. Isprs Int J Geo-Inf, 10: 590

    Google Scholar 

  • Qiao Z, Tian G, Xiao L. 2013. Diurnal and seasonal impacts of urbanization on the urban thermal environment: A case study of Beijing using MODIS data. ISPRS J Photogrammetry Remote Sens, 85: 93–101

    ADS  Google Scholar 

  • Ravanelli R, Nascetti A, Cirigliano R V, Rico C D, Leuzzi G, Monti P, Crespi M. 2018. Monitoring the impact of land cover change on surface urban Heat Island through Google Earth Engine: Proposal of a global methodology, first applications and problems. Remote Sens, 10: 1488–1509

    ADS  Google Scholar 

  • Shen G. 2023. Three decades of urban forestry in China. Urban Forry Urban Greening, 82: 127877

    Google Scholar 

  • Su W, Chang Q, Liu X, Zhang L. 2021. Cooling effect of urban green and blue infrastructure: A systematic review of empirical evidence (in Chinese). Acta Ecol Sin, 41: 2902–2917

    Google Scholar 

  • Sun J, Wang X, Chen A, Ma Y, Cui M, Piao S. 2011. NDVI indicated characteristics of vegetation cover change in China’s metropolises over the last three decades. Environ Monit Assess, 179: 1–14

    PubMed  Google Scholar 

  • Ullah M, Li J, Wadood B. 2020. Analysis of urban expansion and its impacts on land surface temperature and vegetation Using RS and GIS, A case study in Xi’an city, China. Earth Syst Environ, 4: 583–597

    ADS  Google Scholar 

  • Vailshery L S, Jaganmohan M, Nagendra H. 2013. Effect of street trees on microclimate and air pollution in a tropical city. Urban Forry Urban Greening, 12: 408–415

    Google Scholar 

  • Wang C, 2022. Urban ecological space in China: Scope, scale, component and layout (in Chinese). J Chin Urban For, 20: 1–7

    Google Scholar 

  • Wang C, Jia M, Chen N, Wang W. 2018. Long-term surface water dynamics analysis based on Landsat Imagery and the Google Earth engine platform: A case study in the Middle Yangtze River Basin. Remote Sens, 10: 1635

    ADS  Google Scholar 

  • Wang J, Liu Z, 2017. Analysis on the spatial-temporal differences of driving forces of the green rate of urban built district growth in China (in Chinese). J Suzhou Univ Sci Technol-Eng Technol, 30: 30–36

    CAS  Google Scholar 

  • Wang S, Ju W, Peñuelas J, Cescatti A, Zhou Y, Fu Y, Huete A, Liu M, Zhang Y. 2019. Urban-rural gradients reveal joint control of elevated CO2 and temperature on extended photosynthetic seasons. Nat Ecol Evol, 3: 1076–1085

    PubMed  Google Scholar 

  • Wu Y. 2019. Urbanization and Urban-Rural Relations in China (1949–2019): Course, Transition and Reflection. Sociol Rev Chin, 7: 82–95

    Google Scholar 

  • Wang Y, Li M. 2021. Annually urban fractional vegetation cover dynamic mapping in Hefei, China (1999–2018). Remote Sens, 13: 2126–2149

    ADS  Google Scholar 

  • Wo R, Dong T, Pan Q, Liu Z, Li Z, Xie M. 2021. Ecological performance evaluation of urban agriculture in Beijing based on temperature and fractional vegetation cover. Urban Ecosyst, 25: 341–353

    Google Scholar 

  • Wu S, Liang Z, Li S. 2019. Relationships between urban development level and urban vegetation states: A global perspective. Urban Forry Urban Greening, 38: 215–222

    Google Scholar 

  • Xu Y, Cheng Y, 2018. Research on spatial spillover effect of urban green space construction in China: Based on the date of 286 cities at prefecture level or above (in Chinese). Ecol Econ, 34: 163–167

    Google Scholar 

  • Yang K, He J, 2019. China meteorological forcing dataset(1979–2018). In: National Tibetan Plateau Data, C. National Tibetan Plateau Data Center

  • Yang S, Liu C, Yang Z, Sun R, Zhou X, 2002. Natural eco-environmental evaluation of west route area of interbasin water transfer project (in Chinese). Acta Geogr Sin, 11–18

    Google Scholar 

  • Yang X J, Wang X K, 2019. Regional difference of urbanization speed in China and its main influencing factors (in Chinese). Ecol Sci, 38: 36–44

    Google Scholar 

  • Yao R, Wang L, Gui X, Zheng Y, Zhang H, Huang X. 2017. Urbanization effects on vegetation and surface urban heat Islands in China’s Yangtze River Basin. Remote Sens, 9: 540–557

    ADS  Google Scholar 

  • Ye J, Kang S Q, Fu G S, Lv H Y, L, Qian W Q, Tang X H, 2022. Research progress of urban green space landscape pattern change based on satellite remote sensing (in Chinese). Bull Surv Mapp: 23–27

  • Zhang B, Xie G D, Li N, Wang S. 2015. Effect of urban green space changes on the role of rainwater runoff reduction in Beijing, China. Landscape Urban PlAnning, 140: 8–16

    Google Scholar 

  • Zhang X, Wang H, Li H, Yan J, George, Sun X, Zhang F, Wang D, 2020. Hotspots and frontier of urban forest research in recent 30 years-knowledge mapping analysis based on citespace (in Chinese). J Chin Urban For, 18: 1–7

    CAS  Google Scholar 

  • Zhang Y, Balzter H, Li Y. 2021a. Influence of impervious surface area and fractional vegetation cover on seasonal urban surface heating/cooling rates. Remote Sens, 13: 1263–1279

    ADS  Google Scholar 

  • Zhang Y, Zhang T, Zeng Y, Cheng B, Li H. 2021b. Designating national forest cities in China: Does the policy improve the urban living environment? For Policy Econ, 125: 102400

    Google Scholar 

  • Zhou D, Zhao S, Liu S, Zhang L. 2014. Spatiotemporal trends of terrestrial vegetation activity along the urban development intensity gradient in China’s 32 major cities. Sci Total Environ, 488–489: 136–145

    ADS  PubMed  Google Scholar 

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Acknowledgements

We would like to thank Raffaele Lafortezza for his efforts to proofread the manuscript. We would like to thank the anonymous reviewers for providing constructive comments and suggestion. This study was funded by the National Natural Science Foundation of China (Grant No. 41930970), the State Key Laboratory of Earth Surface Processes and Resource Ecology (Grant No. U2020-KF-02) and the Program of State Forestry and Grass Administration (Grant No. 2020020079).

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Authors and Affiliations

  1. Research Centre of Urban Forestry, Key Laboratory for Silviculture and Forest Ecosystem of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, 100083, China

    Fei Feng, Xin Yang, Xianwen Li & Chengyang Xu

  2. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China

    Fei Feng

  3. Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China

    Baoquan Jia

  4. School of Architecture, Tsinghua University, Beijing, 100084, China

    Xiaoting Li

  5. College of Urban and Environmental Sciences, Sino-French Institute for Earth System Science, Institute of Carbon Neutrality, Peking University, Beijing, 100871, China

    Kaicun Wang

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  1. Fei Feng
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  2. Xin Yang
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  3. Baoquan Jia
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  4. Xiaoting Li
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Correspondence to Chengyang Xu or Kaicun Wang.

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Feng, F., Yang, X., Jia, B. et al. Variability of urban fractional vegetation cover and its driving factors in 328 cities in China. Sci. China Earth Sci. 67, 466–482 (2024). https://doi.org/10.1007/s11430-022-1219-2

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