IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i8p1563-d1211997.html
   My bibliography  Save this article

Response of Urban Ecosystem Carbon Storage to Land Use/Cover Change and Its Vulnerability Based on Major Function-Oriented Zone Planning

Author

Listed:
  • Lili Geng

    (School of Economics & Management, Beijing Forestry University, Beijing 100107, China)

  • Yuanyuan Zhang

    (School of Economics & Management, Beijing Forestry University, Beijing 100107, China)

  • Huixian Hui

    (School of Economics & Management, Beijing Forestry University, Beijing 100107, China)

  • Yuhan Wang

    (School of Economics & Management, Beijing Forestry University, Beijing 100107, China)

  • Yongji Xue

    (School of Economics & Management, Beijing Forestry University, Beijing 100107, China)

Abstract

Vigorous emphasis has been placed on optimizing land spatial planning to protect carbon storage and enhance ecosystem resilience. What is the effectiveness of the Major Function-Oriented Zone (MFOZ) planning implemented to achieve this goal in China? Especially in urbanized areas where there are more pronounced conflicts between humans and land. Taking the Beijing-Tianjin-Hebei (BTH) urban agglomeration as the target area, this study explored the response of carbon storage to land use/cover change (LUCC) and its vulnerability to ecological service functions under MFOZ planning. The 30 m × 30 m spatially resolved Landsat TM/ETM remote sensing images from 2000 to 2020 were used. The data preprocessing was performed mainly through radiometric calibration, clipping, and reclassification through the ArcGIS 10.7 software. Applying the InVEST model, which uses the LUCC map and carbon storage density of the four carbon pools, including above-ground carbon density, below-ground carbon density, dead organic carbon density, and soil organic carbon density, to evaluate the carbon storage under the current landscape or in the future, the results show that: (1) The BTH ecosystem experienced a carbon storage reduction of about 7.25 × 10 7 Mg from 2000 to 2020 due to the expansion of construction land, which crowded out cropland. Carbon storage in the BTH showed a high concentration in the “northeast-southwest” direction and a tiny distribution in the “middle-east” direction. (2) From 2015, the initial effects of the MFOZ planning were seen, with the ecological land in the Central Core Zone and Eastern Coastal Development Zone decreasing while the proportion of high-carbon storage areas in the Eastern Coastal Development Zone increasing. (3) Over the two decades, the land use intensity index improved by 4.65 overall, and vulnerability worsened from 2000 to 2015 and was alleviated from 2015 to 2020. This study will provide a scientific reference for optimizing urban spatial land use planning and promoting carbon sequestration in ecosystems.

Suggested Citation

  • Lili Geng & Yuanyuan Zhang & Huixian Hui & Yuhan Wang & Yongji Xue, 2023. "Response of Urban Ecosystem Carbon Storage to Land Use/Cover Change and Its Vulnerability Based on Major Function-Oriented Zone Planning," Land, MDPI, vol. 12(8), pages 1-21, August.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:8:p:1563-:d:1211997
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/8/1563/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/8/1563/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jiang, Weiguo & Deng, Yue & Tang, Zhenghong & Lei, Xuan & Chen, Zheng, 2017. "Modelling the potential impacts of urban ecosystem changes on carbon storage under different scenarios by linking the CLUE-S and the InVEST models," Ecological Modelling, Elsevier, vol. 345(C), pages 30-40.
    2. Yingting He & Chuyu Xia & Zhuang Shao & Jing Zhao, 2022. "The Spatiotemporal Evolution and Prediction of Carbon Storage: A Case Study of Urban Agglomeration in China’s Beijing-Tianjin-Hebei Region," Land, MDPI, vol. 11(6), pages 1-25, June.
    3. Jinfeng Wang & Lingfeng Li & Qing Li & Sheng Wang & Xiaoling Liu & Ya Li, 2022. "The Spatiotemporal Evolution and Prediction of Carbon Storage in the Yellow River Basin Based on the Major Function-Oriented Zone Planning," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    4. Rozas-Vásquez, Daniel & Fürst, Christine & Geneletti, Davide & Almendra, Osvaldo, 2018. "Integration of ecosystem services in strategic environmental assessment across spatial planning scales," Land Use Policy, Elsevier, vol. 71(C), pages 303-310.
    5. Markus Reichstein & Michael Bahn & Philippe Ciais & Dorothea Frank & Miguel D. Mahecha & Sonia I. Seneviratne & Jakob Zscheischler & Christian Beer & Nina Buchmann & David C. Frank & Dario Papale & An, 2013. "Climate extremes and the carbon cycle," Nature, Nature, vol. 500(7462), pages 287-295, August.
    6. Cheng Li & Jie Zhao & Nguyen Xuan Thinh & Yantao Xi, 2018. "Assessment of the Effects of Urban Expansion on Terrestrial Carbon Storage: A Case Study in Xuzhou City, China," Sustainability, MDPI, vol. 10(3), pages 1-17, February.
    7. Jin, Gui & Chen, Kun & Wang, Pei & Guo, Baishu & Dong, Yin & Yang, Jun, 2019. "Trade-offs in land-use competition and sustainable land development in the North China Plain," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 36-46.
    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. Kukkonen, M.O. & Khamis, M. & Muhammad, M.J. & Käyhkö, N. & Luoto, M., 2022. "Modeling direct above-ground carbon loss due to urban expansion in Zanzibar City Region, Tanzania," Land Use Policy, Elsevier, vol. 112(C).
    2. Xinyu Ouyang & Xiangyu Luo, 2022. "Models for Assessing Urban Ecosystem Services: Status and Outlooks," Sustainability, MDPI, vol. 14(8), pages 1-20, April.
    3. Yonghua Li & Song Yao & Hezhou Jiang & Huarong Wang & Qinchuan Ran & Xinyun Gao & Xinyi Ding & Dandong Ge, 2022. "Spatial-Temporal Evolution and Prediction of Carbon Storage: An Integrated Framework Based on the MOP–PLUS–InVEST Model and an Applied Case Study in Hangzhou, East China," Land, MDPI, vol. 11(12), pages 1-22, December.
    4. Tong Lin & Dafang Wu & Muzhuang Yang & Peifang Ma & Yanyan Liu & Feng Liu & Ziying Gan, 2022. "Evolution and Simulation of Terrestrial Ecosystem Carbon Storage and Sustainability Assessment in Karst Areas: A Case Study of Guizhou Province," IJERPH, MDPI, vol. 19(23), pages 1-19, December.
    5. Wenbo Cai & Wanting Peng, 2021. "Exploring Spatiotemporal Variation of Carbon Storage Driven by Land Use Policy in the Yangtze River Delta Region," Land, MDPI, vol. 10(11), pages 1-12, October.
    6. Han Wang & Yujie Jin & Xingming Hong & Fuan Tian & Jianxian Wu & Xin Nie, 2022. "Integrating IPAT and CLUMondo Models to Assess the Impact of Carbon Peak on Land Use," Land, MDPI, vol. 11(4), pages 1-16, April.
    7. Huicai Yang & Shuqin Zhao & Zhanfei Qin & Zhiguo Qi & Xinying Jiao & Zhen Li, 2024. "Differentiation of Carbon Sink Enhancement Potential in the Beijing–Tianjin–Hebei Region of China," Land, MDPI, vol. 13(3), pages 1-15, March.
    8. Qing Liu & Dongdong Yang & Lei Cao & Bruce Anderson, 2022. "Assessment and Prediction of Carbon Storage Based on Land Use/Land Cover Dynamics in the Tropics: A Case Study of Hainan Island, China," Land, MDPI, vol. 11(2), pages 1-24, February.
    9. Zhiyuan Ma & Xuejun Duan & Lei Wang & Yazhu Wang & Jiayu Kang & Ruxian Yun, 2023. "A Scenario Simulation Study on the Impact of Urban Expansion on Terrestrial Carbon Storage in the Yangtze River Delta, China," Land, MDPI, vol. 12(2), pages 1-16, January.
    10. Yujin Li & Juying Jiao & Zhijie Wang & Binting Cao & Yanhong Wei & Shu Hu, 2016. "Effects of Revegetation on Soil Organic Carbon Storage and Erosion-Induced Carbon Loss under Extreme Rainstorms in the Hill and Gully Region of the Loess Plateau," IJERPH, MDPI, vol. 13(5), pages 1-15, April.
    11. González-García, Alberto & Palomo, Ignacio & González, José A. & López, César A. & Montes, Carlos, 2020. "Quantifying spatial supply-demand mismatches in ecosystem services provides insights for land-use planning," Land Use Policy, Elsevier, vol. 94(C).
    12. Oscar Reicher & Verónica Delgado & José-Luis Arumi, 2021. "Use of Indicators in Strategic Environmental Assessments of Urban-Planning Instruments: A Case Study," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    13. Zhang, Hong & Jin, Gui & Zhang, Zhengyu, 2021. "Coupling system of carbon emission and social economy: A review," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    14. Przemysław Śleszyński & Adam Kowalewski & Tadeusz Markowski & Paulina Legutko-Kobus & Maciej Nowak, 2020. "The Contemporary Economic Costs of Spatial Chaos: Evidence from Poland," Land, MDPI, vol. 9(7), pages 1-28, July.
    15. Simon Besnard & Nuno Carvalhais & M Altaf Arain & Andrew Black & Benjamin Brede & Nina Buchmann & Jiquan Chen & Jan G P W Clevers & Loïc P Dutrieux & Fabian Gans & Martin Herold & Martin Jung & Yoshik, 2019. "Memory effects of climate and vegetation affecting net ecosystem CO2 fluxes in global forests," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-22, February.
    16. Zbigniew W. Kundzewicz & Adam Choryński & Janusz Olejnik & Hans J. Schellnhuber & Marek Urbaniak & Klaudia Ziemblińska, 2023. "Climate Change Science and Policy—A Guided Tour across the Space of Attitudes and Outcomes," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    17. Li, Shicheng & Zhang, Heng & Zhou, Xuewu & Yu, Haibin & Li, Wangjun, 2020. "Enhancing protected areas for biodiversity and ecosystem services in the Qinghai–Tibet Plateau," Ecosystem Services, Elsevier, vol. 43(C).
    18. Zheng Fu & Philippe Ciais & I. Colin Prentice & Pierre Gentine & David Makowski & Ana Bastos & Xiangzhong Luo & Julia K. Green & Paul C. Stoy & Hui Yang & Tomohiro Hajima, 2022. "Atmospheric dryness reduces photosynthesis along a large range of soil water deficits," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    19. Isabel Dorado-Liñán & Blanca Ayarzagüena & Flurin Babst & Guobao Xu & Luis Gil & Giovanna Battipaglia & Allan Buras & Vojtěch Čada & J. Julio Camarero & Liam Cavin & Hugues Claessens & Igor Drobyshev , 2022. "Jet stream position explains regional anomalies in European beech forest productivity and tree growth," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    20. Yanru Zhao & Xiaomin Zhao & Xinyi Huang & Jiaxin Guo & Guohui Chen, 2022. "Identifying a Period of Spatial Land Use Conflicts and Their Driving Forces in the Pearl River Delta," Sustainability, MDPI, vol. 15(1), pages 1-17, December.

    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:jlands:v:12:y:2023:i:8:p:1563-:d:1211997. 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.