IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-03192-1.html
   My bibliography  Save this article

Promoting low-carbon land use: from theory to practical application through exploring new methods

Author

Listed:
  • Xiaowei Chuai

    (Nanjing University
    Nanjing University
    Ministry of Natural Resources)

  • Hongbo Xu

    (Zhejiang Academy of Surveying and Mapping)

  • Zemiao Liu

    (Nanjing University)

  • Ai Xiang

    (Nanjing University)

  • Yuting Luo

    (Nanjing University)

  • Wanliu Mao

    (Zhejiang Academy of Surveying and Mapping)

  • Tong Wang

    (Nanjing University)

  • Xin Ye

    (Nanjing University)

  • Lijuan Miao

    (Nanjing University of Information Science & Technology)

  • Rongqin Zhao

    (North China University of Water Resource and Electric Power)

  • Fengtai Zhang

    (Chongqing University of Technology)

Abstract

Cities are main carbon emissions generators. Land use changes can not only affect terrestrial ecosystems carbon, but also anthropogenic carbon emissions. However, carbon monitoring at a spatial level is still coarse, and low-carbon land use encounters the challenge of being unable to adjust at the patch scale. This study addresses these limitations by using land-use data and various auxiliary data to explore new methods. The approach involves developing a high-resolution carbon monitoring model and investigating a patch-scale low-carbon land use model by integrating high carbon sink/source images with the Future Land Use Simulation model. Between 2000 and 2020, the results reveal an increasing trend in both carbon emissions and carbon sinks in the Shangyu district. Carbon sinks can only offset approximately 3% of the total carbon emissions. Spatially, the north exhibits net carbon emissions, while the southern region functions more as a carbon sink. A total of 14.5% of the total land area witnessed a change in land-use type, with the transfer-out of cropland constituting the largest area at 96.44 km2, accounting for 50% of the total transferred area. Land-use transfer resulted in an annual increase of 77.72 × 104 t in carbon emissions between 2000 and 2020. Through land-use structure optimisation, carbon emissions are projected to increase by only 7154 t C/year from 2000 to 2030, significantly lower than the amount between 2000 and 2020. Further low-carbon land optimisation at the patch scale can enhance the carbon sink by 129.59 t C/year. The conclusion drawn is that there is considerable potential to reduce carbon emissions through land use control. The new methods developed in our study can effectively contribute to high-resolution carbon monitoring in spatial contexts and support low-carbon land use, promoting the application of low-carbon land use from theory to practice. This will provide technological guidance for land use planning, city planning, and so forth.

Suggested Citation

  • Xiaowei Chuai & Hongbo Xu & Zemiao Liu & Ai Xiang & Yuting Luo & Wanliu Mao & Tong Wang & Xin Ye & Lijuan Miao & Rongqin Zhao & Fengtai Zhang, 2024. "Promoting low-carbon land use: from theory to practical application through exploring new methods," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03192-1
    DOI: 10.1057/s41599-024-03192-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-03192-1
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-024-03192-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Maria Simona Andreano & Roberto Benedetti & Federica Piersimoni & Giovanni Savio, 2021. "Mapping Poverty of Latin American and Caribbean Countries from Heaven Through Night-Light Satellite Images," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 533-562, August.
    2. Bhanage Vinayak & Han Soo Lee & Shirishkumar Gedem, 2021. "Prediction of Land Use and Land Cover Changes in Mumbai City, India, Using Remote Sensing Data and a Multilayer Perceptron Neural Network-Based Markov Chain Model," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    3. Lishan Ran & David E. Butman & Tom J. Battin & Xiankun Yang & Mingyang Tian & Clément Duvert & Jens Hartmann & Naomi Geeraert & Shaoda Liu, 2021. "Substantial decrease in CO2 emissions from Chinese inland waters due to global change," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    4. Cai, Bofeng & Guo, Huanxiu & Ma, Zipeng & Wang, Zhixuan & Dhakal, Shobhakar & Cao, Libin, 2019. "Benchmarking carbon emissions efficiency in Chinese cities: A comparative study based on high-resolution gridded data," Applied Energy, Elsevier, vol. 242(C), pages 994-1009.
    5. 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.
    6. Han Huang & Yang Zhou & Mingjie Qian & Zhaoqi Zeng, 2021. "Land Use Transition and Driving Forces in Chinese Loess Plateau: A Case Study from Pu County, Shanxi Province," Land, MDPI, vol. 10(1), pages 1-15, January.
    7. Rui Lu & Anne Gauthier & Gert Stulp, 2023. "Fertility preferences in China in the twenty-first century," Journal of Population Research, Springer, vol. 40(2), pages 1-30, June.
    8. Shilong Piao & Jingyun Fang & Philippe Ciais & Philippe Peylin & Yao Huang & Stephen Sitch & Tao Wang, 2009. "The carbon balance of terrestrial ecosystems in China," Nature, Nature, vol. 458(7241), pages 1009-1013, April.
    9. Chunhua Zhang & Weimin Ju & Jing Chen & Mei Zan & Dengqiu Li & Yanlian Zhou & Xiqun Wang, 2013. "China’s forest biomass carbon sink based on seven inventories from 1973 to 2008," Climatic Change, Springer, vol. 118(3), pages 933-948, June.
    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. Qiao, Renlu & Liu, Xiaochang & Gao, Shuo & Liang, Diling & GesangYangji, Gesang & Xia, Li & Zhou, Shiqi & Ao, Xiang & Jiang, Qingrui & Wu, Zhiqiang, 2024. "Industrialization, urbanization, and innovation: Nonlinear drivers of carbon emissions in Chinese cities," Applied Energy, Elsevier, vol. 358(C).
    2. Chaochao Du & Xiaoyong Bai & Yangbing Li & Qiu Tan & Cuiwei Zhao & Guangjie Luo & Luhua Wu & Fei Chen & Chaojun Li & Chen Ran & Xuling Luo & Huipeng Xi & Huan Chen & Sirui Zhang & Min Liu & Suhua Gong, 2022. "Inventory of China’s Net Biome Productivity since the 21st Century," Land, MDPI, vol. 11(8), pages 1-16, August.
    3. Wanlong, Sun & Yowhan, Son & Baishuo, He & Xuehua, Liu, 2023. "An individual tree-based model for estimating regional and temporal carbon storage of Abies chensiensis forest ecosystem in the Qinling Mountains, China," Ecological Modelling, Elsevier, vol. 479(C).
    4. Wael Mostafa & Zenhom Magd & Saif M. Abo Khashaba & Belal Abdelaziz & Ehab Hendawy & Abdelaziz Elfadaly & Mohsen Nabil & Dmitry E. Kucher & Shuisen Chen & Elsayed Said Mohamed, 2023. "Impacts of Human Activities on Urban Sprawl and Land Surface Temperature in Rural Areas, a Case Study of El-Reyad District, Kafrelsheikh Governorate, Egypt," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
    5. Li, Xiang & Cheng, Zhonghua, 2022. "Does high-speed rail improve urban carbon emission efficiency in China?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    6. Du, Kun & Calautit, John & Eames, Philip & Wu, Yupeng, 2021. "A state-of-the-art review of the application of phase change materials (PCM) in Mobilized-Thermal Energy Storage (M-TES) for recovering low-temperature industrial waste heat (IWH) for distributed heat," Renewable Energy, Elsevier, vol. 168(C), pages 1040-1057.
    7. Cui, Can & Wang, Zhen & Cai, Bofeng & Peng, Sha & Wang, Yang & Xu, Chengdong, 2021. "Evolution-based CO2 emission baseline scenarios of Chinese cities in 2025," Applied Energy, Elsevier, vol. 281(C).
    8. Jieming Chou & Yidan Hao & Yuan Xu & Weixing Zhao & Yuanmeng Li & Haofeng Jin, 2023. "Forest Carbon Sequestration Potential in China under Different SSP-RCP Scenarios," Sustainability, MDPI, vol. 15(9), pages 1-12, April.
    9. Weijia Chen & Yongquan Lu & Guilin Liu, 2022. "Balancing cropland gain and desert vegetation loss: The key to rural revitalization in Xinjiang, China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1122-1145, September.
    10. Weiwei Liu & Xiaoke Wang & Bojie Liu & Yunjian Luo & Fei Lu & Zhiyun Ouyang, 2018. "Full accounting of the greenhouse gas budget in the forestry of China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(5), pages 643-666, June.
    11. Juan Li & Xunzhou Chunyu & Feng Huang, 2022. "Land Use Pattern Changes and the Driving Forces in the Shiyang River Basin from 2000 to 2018," Sustainability, MDPI, vol. 15(1), pages 1-27, December.
    12. Li, Shuoshuo & Liu, Yaobin & Wei, Guoen & Bi, Mo & He, Bao-Jie, 2024. "Carbon surplus or carbon deficit under land use transformation in China?," Land Use Policy, Elsevier, vol. 143(C).
    13. Zhen, Wei & Qin, Quande & Miao, Lu, 2023. "The greenhouse gas rebound effect from increased energy efficiency across China's staple crops," Energy Policy, Elsevier, vol. 173(C).
    14. Wang, Xiuli, 2023. "Exploring the role of resource industry dependence and green finance in green development efficiency in the context of post-Covid-19 period," Resources Policy, Elsevier, vol. 85(PB).
    15. Ziheng Niu & Jianliang Xiong & Xuesong Ding & Yao Wu, 2022. "Analysis of China’s Carbon Peak Achievement in 2025," Energies, MDPI, vol. 15(14), pages 1-18, July.
    16. Xinyao Li & Lingzhi Wang & Bryan Pijanowski & Lingpeng Pan & Hichem Omrani & Anqi Liang & Yi Qu, 2022. "The Spatio-Temporal Pattern and Transition Mode of Recessive Cultivated Land Use Morphology in the Huaibei Region of the Jiangsu Province," Land, MDPI, vol. 11(11), pages 1-16, November.
    17. Junnan Xia & Mengyao Hong & Wei Wei, 2023. "Changes and Driving Forces of Urban–Agricultural–Ecological Space in the Yangtze River Economic Belt from 2000 to 2020," Land, MDPI, vol. 12(5), pages 1-17, May.
    18. Gang Xu & Tianyi Zeng & Hong Jin & Cong Xu & Ziqi Zhang, 2023. "Spatio-Temporal Variations and Influencing Factors of Country-Level Carbon Emissions for Northeast China Based on VIIRS Nighttime Lighting Data," IJERPH, MDPI, vol. 20(1), pages 1-17, January.
    19. Luyi Qiu & Kunying Niu & Wei He & Yaqi Hu, 2023. "Two Contribution Paths of Carbon Neutrality: Terrestrial Ecosystem Carbon Sinks and Anthropogenic Carbon Emission Reduction—A Case of Chongqing, China," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
    20. Kai Yin & Dengsheng Lu & Yichen Tian & Qianjun Zhao & Chao Yuan, 2014. "Evaluation of Carbon and Oxygen Balances in Urban Ecosystems Using Land Use/Land Cover and Statistical Data," Sustainability, MDPI, vol. 7(1), pages 1-27, December.

    More about this item

    Statistics

    Access and download statistics

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03192-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.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.