IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i16p12497-d1219095.html
   My bibliography  Save this article

The Impact of Land Use Changes on Carbon Flux in the World’s 100 Largest Cities

Author

Listed:
  • Minghao Lyu

    (School of Earth and Environmental Sciences, The University of Queensland, St. Lucia, QLD 4067, Australia
    These authors contributed equally to this work.)

  • Yajie Zhou

    (School of Earth and Environmental Sciences, The University of Queensland, St. Lucia, QLD 4067, Australia
    These authors contributed equally to this work.)

  • Yongping Wei

    (School of Earth and Environmental Sciences, The University of Queensland, St. Lucia, QLD 4067, Australia)

  • Jinghan Li

    (School of Earth and Environmental Sciences, The University of Queensland, St. Lucia, QLD 4067, Australia)

  • Shuanglei Wu

    (School of Earth and Environmental Sciences, The University of Queensland, St. Lucia, QLD 4067, Australia)

Abstract

Urbanization has become an important player in the global carbon cycle, and land use change is the second largest source of carbon emissions. However, despite great advances in remote sensing and satellite imagery, there is no reliable estimate of the impact of land use change on changes in land carbon stock in global cities. This paper quantified the impact of land use change on land carbon flux in the world’s 100 largest cities by using annual land cover data based on LandSat 8 images and land carbon stock parameters provided by the IPCC (Intergovernmental Panel on Climate Change). It was found that significant urban expansion could be observed in 83 cities, while 29 cities showed a deforestation trend, and croplands in 42 cities have shrunk. Carbon stock reduced by more than 112 million tons in the 100 selected cities from 2013 to 2022 due to land cover change. A total of 39 cities showed significant negative trends in land carbon stock that were mainly caused by urban sprawl and shrinkage in forest or cropland, among which Kolkata, Chongqing, Seoul, Guangzhou, and Hefei showed the greatest decline. Because of the growth of forest and cropland, or reduction in barren land and grassland, 28 cities showed clear positive trends in land carbon stock. In order to increase urban land carbon stock, the urban planning of most cities should focus on the protection of forests or afforestation that replace barren land or grassland and should avoid mindless urban expansion.

Suggested Citation

  • Minghao Lyu & Yajie Zhou & Yongping Wei & Jinghan Li & Shuanglei Wu, 2023. "The Impact of Land Use Changes on Carbon Flux in the World’s 100 Largest Cities," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12497-:d:1219095
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/16/12497/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/16/12497/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. D. J. Weiss & A. Nelson & H. S. Gibson & W. Temperley & S. Peedell & A. Lieber & M. Hancher & E. Poyart & S. Belchior & N. Fullman & B. Mappin & U. Dalrymple & J. Rozier & T. C. D. Lucas & R. E. Howes, 2018. "A global map of travel time to cities to assess inequalities in accessibility in 2015," Nature, Nature, vol. 553(7688), pages 333-336, January.
    2. Ali, Ghaffar & Pumijumnong, Nathsuda & Cui, Shenghui, 2018. "Valuation and validation of carbon sources and sinks through land cover/use change analysis: The case of Bangkok metropolitan area," Land Use Policy, Elsevier, vol. 70(C), pages 471-478.
    3. Li Gao & Xin Wen & Yuntong Guo & Tianming Gao & Yi Wang & Lei Shen, 2014. "Spatiotemporal Variability of Carbon Flux from Different Land Use and Land Cover Changes: A Case Study in Hubei Province, China," Energies, MDPI, vol. 7(4), pages 1-19, April.
    4. Zhigang Li & Jialong Zhong & Zishu Sun & Wunian Yang, 2017. "Spatial Pattern of Carbon Sequestration and Urban Sustainability: Analysis of Land-Use and Carbon Emission in Guang’an, China," Sustainability, MDPI, vol. 9(11), pages 1-24, October.
    5. Jin, Wanfu & Zhou, Chunshan & Zhang, Guojun, 2020. "Characteristics of state-owned construction land supply in Chinese cities by development stage and industry," Land Use Policy, Elsevier, vol. 96(C).
    6. Harald Zepp & Luis Inostroza, 2021. "Who Pays the Bill? Assessing Ecosystem Services Losses in an Urban Planning Context," Land, MDPI, vol. 10(4), pages 1-17, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tianqi Rong & Pengyan Zhang & Wenlong Jing & Yu Zhang & Yanyan Li & Dan Yang & Jiaxin Yang & Hao Chang & Linna Ge, 2020. "Carbon Dioxide Emissions and Their Driving Forces of Land Use Change Based on Economic Contributive Coefficient (ECC) and Ecological Support Coefficient (ESC) in the Lower Yellow River Region (1995–20," Energies, MDPI, vol. 13(10), pages 1-18, May.
    2. Zizhan Jiang & Burrell Montz & Thomas Vogel, 2023. "Comprehensive Evaluation of Land Use Planning Alternatives Based on GIS-ANP," Land, MDPI, vol. 12(8), pages 1-21, July.
    3. Giacomo Falchetta & Nicolò Stevanato & Magda Moner-Girona & Davide Mazzoni & Emanuela Colombo & Manfred Hafner, 2020. "M-LED: Multi-sectoral Latent Electricity Demand Assessment for Energy Access Planning," Working Papers 2020.09, Fondazione Eni Enrico Mattei.
    4. Junghwan Kim & Mei-Po Kwan, 2018. "Beyond Commuting: Ignoring Individuals’ Activity-Travel Patterns May Lead to Inaccurate Assessments of Their Exposure to Traffic Congestion," IJERPH, MDPI, vol. 16(1), pages 1-20, December.
    5. Andre Python & Andreas Bender & Marta Blangiardo & Janine B. Illian & Ying Lin & Baoli Liu & Tim C.D. Lucas & Siwei Tan & Yingying Wen & Davit Svanidze & Jianwei Yin, 2022. "A downscaling approach to compare COVID‐19 count data from databases aggregated at different spatial scales," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 202-218, January.
    6. Antoine Leblois, 2021. "Mitigating the impact of bad rainy seasons in poor agricultural regions to tackle deforestation," Post-Print hal-03111007, HAL.
    7. De Boeck, Kim & Decouttere, Catherine & Jónasson, Jónas Oddur & Vandaele, Nico, 2022. "Vaccine supply chains in resource-limited settings: Mitigating the impact of rainy season disruptions," European Journal of Operational Research, Elsevier, vol. 301(1), pages 300-317.
    8. Thales A. P. West & Sven Wunder & Erin O. Sills & Jan Borner & Sami W. Rifai & Alexandra N. Neidermeier & Andreas Kontoleon, 2023. "Action needed to make carbon offsets from tropical forest conservation work for climate change mitigation," Papers 2301.03354, arXiv.org.
    9. Yang Yang & Ruizhen He & Guohang Tian & Zhen Shi & Xinyu Wang & Albert Fekete, 2022. "Equity Study on Urban Park Accessibility Based on Improved 2SFCA Method in Zhengzhou, China," Land, MDPI, vol. 11(11), pages 1-17, November.
    10. Santos, María Emma, 2019. "Non-monetary indicators to monitor SDG targets 1.2 and 1.4: standards, availability, comparability and quality," Estudios Estadísticos 44452, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    11. Oliveira, A.S. & Soares-Filho, B.S. & Oliveira, U. & Van der Hoff, R. & Carvalho-Ribeiro, S.M. & Oliveira, A.R. & Scheepers, L.C. & Vargas, B.A. & Rajão, R.G., 2021. "Costs and effectiveness of public and private fire management programs in the Brazilian Amazon and Cerrado," Forest Policy and Economics, Elsevier, vol. 127(C).
    12. Yang, Jidong & Liu, Cheng & Liu, Kai, 2023. "Land marketization and industrial restructuring in China," Land Use Policy, Elsevier, vol. 131(C).
    13. Wei Wang & Xin Luo & Chongmei Zhang & Jiahao Song & Dingde Xu, 2021. "Can Land Transfer Alleviate the Poverty of the Elderly? Evidence from Rural China," IJERPH, MDPI, vol. 18(21), pages 1-15, October.
    14. Jacqueline D. Seufert & Andre Python & Christoph Weisser & Elías Cisneros & Krisztina Kis‐Katos & Thomas Kneib, 2022. "Mapping ex ante risks of COVID‐19 in Indonesia using a Bayesian geostatistical model on airport network data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2121-2155, October.
    15. Hongchang Li & Jack Strauss & Lihong Liu, 2019. "A Panel Investigation of High-Speed Rail (HSR) and Urban Transport on China’s Carbon Footprint," Sustainability, MDPI, vol. 11(7), pages 1-24, April.
    16. Nobel, Anne & Lizin, Sebastien & Malina, Robert, 2023. "What drives the designation of protected areas? Accounting for spatial dependence using a composite marginal likelihood approach," Ecological Economics, Elsevier, vol. 205(C).
    17. Anja Garbely & Elias Steiner, 2023. "Understanding compliance with voluntary sustainability standards: a machine learning approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11209-11239, October.
    18. Cattaneo, Andrea & Adukia, Anjali & Brown, David L. & Christiaensen, Luc & Evans, David K. & Haakenstad, Annie & McMenomy, Theresa & Partridge, Mark & Vaz, Sara & Weiss, Daniel J., 2022. "Economic and social development along the urban–rural continuum: New opportunities to inform policy," World Development, Elsevier, vol. 157(C).
    19. Fasil Wagnew & Kefyalew Addis Alene & Matthew Kelly & Darren Gray, 2023. "Geospatial Overlap of Undernutrition and Tuberculosis in Ethiopia," IJERPH, MDPI, vol. 20(21), pages 1-15, October.
    20. Akpoti, Komlavi & Groen, Thomas & Dossou-Yovo, Elliott & Kabo-bah, Amos T. & Zwart, Sander J., 2022. "Climate change-induced reduction in agricultural land suitability of West-Africa's inland valley landscapes," Agricultural Systems, Elsevier, vol. 200(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12497-:d:1219095. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.